Showing papers on "Sensor web published in 2015"

Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT

Abstract: With the accelerated development of Internet-of-Things (IoT), wireless sensor networks (WSNs) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with the Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for WSNs design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards, and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross-layer design of lightweight and cloud-based RESTful Web service.

Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things

Abstract: It is predicted that billions of intelligent devices and networks, such as wireless sensor networks (WSNs), will not be isolated but connected and integrated with computer networks in future Internet of Things (IoT). In order to well maintain those sensor devices, it is often necessary to evolve devices to function correctly by allowing device management (DM) entities to remotely monitor and control devices without consuming significant resources. In this paper, we propose a lightweight RESTful Web service (WS) approach to enable device management of wireless sensor devices. Specifically, motivated by the recent development of IPv6-based open standards for accessing wireless resource-constrained networks, we consider to implement IPv6 over low-power wireless personal area network (6LoWPAN)/routing protocol for low power and lossy network (RPL)/constrained application protocol (CoAP) protocols on sensor devices and propose a CoAP-based DM solution to allow easy access and management of IPv6 sensor devices. By developing a prototype cloud system, we successfully demonstrate the proposed solution in efficient and effective management of wireless sensor devices.

Wireless sensor networks in agriculture

Abstract: In the paper it is described the multilevel sensor network for data acquisition and processing in precision farming and ecological monitoring. The main aim of the multilevel sensor network is real-time data acquisition of state of plants on large territories, on-line data processing and timely decision making according to specified criteria. Wireless sensor network, which described in article, serves as primary data acquisition system in proposed multilevel sensor network.

A Comprehensive Review of Simulation Tools for Wireless Sensor Networks (WSNs)

Abstract: The trend towards adoption of Wireless Sensor Networks is increasing in recent years because of its diverse use in various fields. Wireless Sensor Network is formed via interconnection of large number of sensor nodes. Each and every sensor node deployed in network monitors various parameters like Temperature, Humidity, Ambient Light, Gas etc. and send the data to the master node. Despite of several applications and diverse uses, sensor networks face various shortcomings like energy, localization, security, self-organization, fault tolerance and many more. So, the area of Wireless Sensor Network is under rigorous research and development by various researchers across the globe to develop new algorithms, protocols and techniques to make WSN network more efficient and reliable. Before live implementation, testing of the developed technique requires rigorous testing. But it is not always possible to have live sensor network environment. So, in that case, Simulation is the only way to test the research before moving towards live implementation. Large numbers of simulation tools are available for WSN network till date, out of which some are dedicated towards wireless sensor networks and some for both wireless and wired networks. The main objective behind this research paper is to do a comprehensive review of various simulation tools of Wireless Sensor Networks to enable researcher to select the most competent tool for simulating wireless sensor networks and testing the research proposed. A comprehensive review of 31 WSN simulators is being presented along with their respective features comparison to assist researchers in advanced WSN based research.

TinyOS: An Operating System for Wireless Sensor Networks

Abstract: TinyOS is an open-source, flexible and application-specific operating system for wireless sensor networks. Wireless sensor network consists of a large number of tiny and low-power nodes, each of which executes simultaneous and reactive programs that must work with strict memory and power constraints. The wireless sensor network’s challenges of event-centric concurrent applications, limited resources and low-power operation impel the design of TinyOS. TinyOS meets these challenges and has become the platform of choice for sensor network research. It is very prevalent in sensor networks these days and supports a broad range of applications and research topics.

A geoprocessing workflow system for environmental monitoring and integrated modelling

Abstract: Environmental information infrastructure benefits from mainstream information technologies including workflow and service technologies. These technologies allow distributed geoprocessing algorithms, models, data, and sensors to be accessed through Web Services, which later can be chained together to support environmental monitoring and integrated modelling. Existing approaches on integrated environmental modelling, such as OpenMI, have advantages in enabling interoperability between modelling components. It is possible to integrate both of them to take the best from both approaches. The paper introduces the design and implementation of a geoprocessing workflow tool, named GeoJModelBuilder, which is able to integrate interoperable Sensor Web, geoprocessing services, and OpenMI-compliant model components into workflows. In this way, sensors, data, geoprocessing functions, and models could be integrated in a flexible, reusable, interoperable, and user-friendly way. The system has been published as an open source software and illustrated in cases on environmental monitoring and integrated modelling. Geo-enabled workflow tool by integrating interoperable Sensor Web, and geoprocessing services, and OpenMI.Event-driven workflows for "active" environmental monitoring.An open source implementation of the geoprocessing workflow tool.

Wireless sensor network system using Raspberry Pi and zigbee for environmental monitoring applications

Abstract: With over a decade of intensive research and development, wireless sensor network (WSN) technology has been emerging as a feasible solution to many innovative applications. In this paper, we describe a wireless sensor network system that we have developed using open-source hardware platforms, Raspberry Pi and zigbee. The system is low-cost, low power consuming and highly scalable both in terms of the type of sensors and the number of sensor nodes, which makes it well suited for a wide variety of applications related to environmental monitoring. Raspberry Pi is cheap, flexible, fully customizable and programmable small computer embedded linux board and abilities of its usage as WSN node and sensor node. Raspberry Pi works as a base station which connects the sensor nodes via zigbee protocol in the wireless sensor network and collects sensors data from different sensors, and supply multi-clients services including data display. The client can visit the base station remotely via (website) Ethernet or command console.

Development of a smart home ontology and the implementation of a semantic sensor network simulator: An Internet of Things approach

Abstract: Internet of Things (IoT) is a network that consists of embedded objects communicating with each other, sense their environment and interact with it. The number of connected devices is increasing day by day and it is expected to reach 26 billion by 2020. There is a huge potential for the development of many applications in IoT. Up to now, the communication of agents in IoT is solved in different ways: non-IP solutions, IP-based solutions and recently by high level, middleware solutions. The diversity of sensors and the complexity of data heterogeneity are solved by use of ontologies in recent works. In this paper, we present a smart home sensor ontology we developed that is a specialized ontology based on the Semantic Sensor Networks (SSN) ontology. We also present a simulation environment we developed for a smart home case using our ontology and present early performance results.

Movement-Assisted Sensor Deployment Algorithms: A Survey and Taxonomy

Abstract: One of the fundamental design issues in mobile wireless sensor networks is how to design efficient movement-assisted sensor deployment algorithms that relocate the sensor nodes in order to meet the desired performance goals. This survey focuses on a variety of movement-assisted sensor deployment algorithms that have been proposed and studied by researchers and highlights their strengths and limitations. The various models, assumptions, objectives, and constraints are identified, and the different formulations are enumerated. A taxonomy of movement-assisted sensor deployment algorithms that captures the fundamental differences among existing solutions is introduced. Six classes of approaches are identified, each one of them uses a specific principle to relocate the nodes from their initial position to a new target position. The proposed taxonomy is used to provide an exhaustive classification of existing approaches. For each identified class, various self-deployment algorithms are discussed. Furthermore, comparisons between the different algorithms and also between the different classes are performed, therefore providing not only a complete view of the state-of-the-art but also useful insights for selecting the self-deployment algorithm most appropriate to the application at hand. This paper also highlights open problems in this area of research.

Review on Security Issues and Attacks in Wireless Sensor Networks

Abstract: Wireless sensor network is a collection of sensor nodes with limited processor and limited memory unit embedded in it. Sensor networks are used in wide range of applications such as Environment monitoring, health, industrial control units, military applications and many more. This paper defines the security requirements and various attacks on sensor network. This paper also review proposed security mechanisms for WSN.

Smart Wireless Sensor Network for Automated Greenhouse

Abstract: A greenhouse is an enclosed structure that provides micro-climate for the plant growth. This paper presents the design of a wireless sensor network that provides real-time monitoring of temperature, humidity and soil moisture of a greenhouse. An automated control system for managing these micro-climate parameters is developed to optimize the parameters and use of water. The sensor node developed handles the data from the sensors and triggers actuators based on the threshold algorithm programmed into the microcontroller. The gateway receives the sensor data and control information through Zigbee and transmits the data to the web application for remote monitoring. The monitor software provides network view with nodes and their information. Information management system is also designed to monitor the data at any required time.

SEnviro: A Sensorized Platform Proposal Using Open Hardware and Open Standards

Abstract: The need for constant monitoring of environmental conditions has produced an increase in the development of wireless sensor networks (WSN). The drive towards smart cities has produced the need for smart sensors to be able to monitor what is happening in our cities. This, combined with the decrease in hardware component prices and the increase in the popularity of open hardware, has favored the deployment of sensor networks based on open hardware. The new trends in Internet Protocol (IP) communication between sensor nodes allow sensor access via the Internet, turning them into smart objects (Internet of Things and Web of Things). Currently, WSNs provide data in different formats. There is a lack of communication protocol standardization, which turns into interoperability issues when connecting different sensor networks or even when connecting different sensor nodes within the same network. This work presents a sensorized platform proposal that adheres to the principles of the Internet of Things and the Web of Things. Wireless sensor nodes were built using open hardware solutions, and communications rely on the HTTP/IP Internet protocols. The Open Geospatial Consortium (OGC) SensorThings API candidate standard was used as a neutral format to avoid interoperability issues. An environmental WSN developed following the proposed architecture was built as a proof of concept. Details on how to build each node and a study regarding energy concerns are presented.

Real-time GIS data model and sensor web service platform for environmental data management

Abstract: Effective environmental data management is meaningful for human health. In the past, environmental data management involved developing a specific environmental data management system, but this method often lacks real-time data retrieving and sharing/interoperating capability. With the development of information technology, a Geospatial Service Web method is proposed that can be employed for environmental data management. The purpose of this study is to determine a method to realize environmental data management under the Geospatial Service Web framework. A real-time GIS (Geographic Information System) data model and a Sensor Web service platform to realize environmental data management under the Geospatial Service Web framework are proposed in this study. The real-time GIS data model manages real-time data. The Sensor Web service platform is applied to support the realization of the real-time GIS data model based on the Sensor Web technologies. To support the realization of the proposed real-time GIS data model, a Sensor Web service platform is implemented. Real-time environmental data, such as meteorological data, air quality data, soil moisture data, soil temperature data, and landslide data, are managed in the Sensor Web service platform. In addition, two use cases of real-time air quality monitoring and real-time soil moisture monitoring based on the real-time GIS data model in the Sensor Web service platform are realized and demonstrated. The total time efficiency of the two experiments is 3.7 s and 9.2 s. The experimental results show that the method integrating real-time GIS data model and Sensor Web Service Platform is an effective way to manage environmental data under the Geospatial Service Web framework.

An experimental study on geospatial indexing for sensor service discovery

Abstract: A scalable platform supporting large-scale sensor service discovery.A discovery approach more resilient to dynamicity of sensor services and environment.Accurate computation of the geographical features of gateways and sensor services.Superior performance over existing methods for response time and throughput. The Internet of Things enables human beings to better interact with and understand their surrounding environments by extending computational capabilities to the physical world. A critical driving force behind this is the rapid development and wide deployment of wireless sensor networks, which continuously produce a large amount of real-world data for many application domains. Similar to many other large-scale distributed technologies, interoperability and scalability are the prominent and persistent challenges. The proposal of sensor-as-a-service aims to address these challenges; however, to our knowledge, there are no concrete implementations of techniques to support the idea, in particular, large-scale, distributed sensor service discovery. Based on the distinctive characteristics of the sensor services, we develop a scalable discovery architecture using geospatial indexing techniques and semantic service technologies. We perform extensive experimental studies to verify the performance of the proposed method and its applicability to large-scale, distributed sensor service discovery.

Developing a fuzzy logic based system for monitoring and early detection of residential fire based on thermistor sensors

Abstract: The recent proliferation of global networking has an enormous impact on the cooperation of smart elements, of arbitrary kind and purpose that can be located anywhere and interact with each other according to the predefined protocol. Furthermore, these elements have to be intelligently orchestrated in order to support distributed sensing and/or monitoring/control of real world phenomena. That is why the Internet of Things (IoT) concept raises like a new, promising paradigm for Future Internet development. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. One of the most interesting real world phenomena that can be monitored by WSN is indoor or outdoor fire. The incorporation of soft computing technologies, like fuzzy logic, in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. Many aspects, such as routes, channel access, locating, energy efficiency, coverage, network capacity, data aggregation and Quality of Services (QoS) have been explored extensively. In this article two fuzzy logic approaches, with temporal characteristics, are proposed for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. We assume that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network. In order to get a real time verification of proposed approaches a prototype sensor web node, based on Representational State Transfer (RESTful) services, is created as an infrastructure that supports fast critical event signaling and remote access to sensor data via the Internet.

A Review on Sensor Network Issues and Robotics

Abstract: The interaction of distributed robotics and wireless sensor networks has led to the creation of mobile sensor networks. There has been an increasing interest in building mobile sensor networks and they are the favored class of WSNs in which mobility plays a key role in the execution of an application. More and more researches focus on development of mobile wireless sensor networks (MWSNs) due to its favorable advantages and applications. In WSNs robotics can play a crucial role, and integrating static nodes with mobile robots enhances the capabilities of both types of devices and enables new applications. In this paper we present an overview on mobile sensor networks in robotics and vice versa and robotic sensor network applications.

A formal model to infer geographic events from sensor observations

Abstract: The Sensor Web provides wider access to sensors and their observations via the Web. A key challenge is to infer information about geographic events from these observations. A systematic approach to the representation of domain knowledge is vital when reasoning about events due to heterogeneous observational sources. This article delivers a formal model capturing the relations between observations and events. The model is exploited with a rule-based mechanism to infer information about events from in-situ observations. The article also describes how the model’s vocabularies are used to formulate spatiotemporal queries. A use case for reasoning about blizzard events based on real time series illustrates the formal model.

Using Linked Data in a heterogeneous Sensor Web: challenges, experiments and lessons learned

Abstract: Abundant sensor data are now available online from a wealth of sources, which greatly enhance research efforts on the Digital Earth. The combination of distributed sensor networks and expanding citizen-sensing capabilities provides a more synchronized image of earth's social and physical landscapes. However, it remains difficult for researchers to use such heterogeneous Sensor Webs for scientific applications since data are published by following different standards and protocols and are in arbitrary formats. In this paper, we investigate the core challenges faced when consuming multiple sources for environmental applications using the Linked Data approach. We design and implement a system to achieve better data interoperability and integration by republishing real-world data into linked geo-sensor data. Our contributions include presenting: (1) best practices of re-using and matching the W3C Semantic Sensor Network (SSN) ontology and other popular ontologies for heterogeneous data modeling in the water r...

Cyber-physical geographical information service-enabled control of diverse in-situ sensors.

Abstract: Realization of open online control of diverse in-situ sensors is a challenge. This paper proposes a Cyber-Physical Geographical Information Service-enabled method for control of diverse in-situ sensors, based on location-based instant sensing of sensors, which provides closed-loop feedbacks. The method adopts the concepts and technologies of newly developed cyber-physical systems (CPSs) to combine control with sensing, communication, and computation, takes advantage of geographical information service such as services provided by the Tianditu which is a basic geographic information service platform in China and Sensor Web services to establish geo-sensor applications, and builds well-designed human-machine interfaces (HMIs) to support online and open interactions between human beings and physical sensors through cyberspace. The method was tested with experiments carried out in two geographically distributed scientific experimental fields, Baoxie Sensor Web Experimental Field in Wuhan city and Yemaomian Landslide Monitoring Station in Three Gorges, with three typical sensors chosen as representatives using the prototype system Geospatial Sensor Web Common Service Platform. The results show that the proposed method is an open, online, closed-loop means of control.

GreenMon: An efficient wireless sensor network monitoring solution for greenhouses

Abstract: This paper presents an efficient monitoring solution for greenhouses. The solution implements the Wireless Sensor Network (WSN) monitoring system and then expands the monitoring concept to an Internet of Things (IoT) solution, by employing 3G access, web services, database and a web interface for user interaction. The main advantage of this modular monitoring system relies on the fact that the End-Devices are highly configurable, enabling several monitoring solutions with different types of sensors and including energy harvesting capabilities. This modular development approach allows the system to be highly scalable and reusable. TI's Z-Stack and SDK support all the network nodes' firmware development. The gateway application software was developed in C++ and Sencha Ext JS framework was employed to implement the web services and the web user interface.

An SDI Approach for Big Data Analytics: The Case on Sensor Web Event Detection and Geoprocessing Workflow

Abstract: In the big data era, scientific and social data could complement each other for enhanced data analysis and scientific discovery. Such capabilities could be achieved by taking an infrastructure-based approach, compared to existing algorithm-based approaches. This paper investigates how scientific and social data could work together in a spatial data infrastructure (SDI) enabled by interoperable services. It takes a human-as-sensor perspective and treats the social data as a special kind of sensor data, which could be mined and used for event detection in the Sensor Web environment. Sensor Web, social data mining, and geoprocessing workflows are combined together for timely decision support from social and sensor data. The result is an SDI approach for big data analytics. A use case on haze-related data mining and analysis illustrates the applicability of the approach.

Design of a low cost multipurpose wireless sensor network

Abstract: This paper proposes the implementation of a low-cost and reliable multipurpose wireless sensor network framework. It has been designed to be easily customizable in order to adapt it to the particular application.

Heterogeneous wireless sensor networks for flood prediction decision support systems

Abstract: Recent advancements in the fields of sensor equipment and wireless sensor networks have opened the window of opportunity for many innovative applications. In this paper, we propose a new architecture for building decision support systems using heterogeneous wireless sensor networks. The architecture is built around standard hardware and existing wireless sensor networks technology. We show the effectiveness of the proposed architecture by applying it to a flood prediction scenario.

A low consumption real time environmental monitoring system for smart cities based on ZigBee wireless sensor network

Abstract: Nowadays, there is an increasing interest in wireless sensor networks (WSN) for environmental monitoring systems because it can be used to improve the quality of life and living conditions are becoming a major concern to people. This paper describes the design and development of a real time monitoring system based on ZigBee WSN characterized by a lower energy consumption, low cost, reduced dimensions and fast adaptation to the network tree topology. The developed system encompasses an optimized sensing process about environmental parameters, low rate transmission from sensor nodes to the gateway, packet parsing and data storing in a remote database and real time visualization through a web server. A monitoring system integrating the outlined system has been deployed and tested for monitoring the level of dust particles in the air, acoustic levels in different places of a city, ambient temperature and relative humidity. A calibration process of a low cost audio sensor was performed to measure the acoustic level from different noise sources, hence, it is not necessary to use an expensive sound level meter at each node. Furthermore, experimental results show autonomy nodes can be about three months.

Sensor data gathering

Abstract: A sensor data gathering environment that associates a sensor with a smart tag attached to a product. The sensor receives product identification data from the smart tag. An application, web service or a computing device associated with the sensor collects customer behavior data, such as a length of time the sensor is associated with the smart tag, the proximity of the sensor to the smart tag, the location of the sensor while in a threshold distance from the smart tag, and the like. The application, web service or the computing device associated with the sensor transmits the product identification data and the customer behavior data to a remote computing system for analysis. Based on the analysis, a message or communication is initiated to provide the customer with personalized customer service.

Energy Efficient Target Coverage in wireless Sensor Network

Abstract: Sensor networks have been applied in a wide variety of situations. Recently directional sensor networks consisting of directional sensors have gained attention. Network life is very crucial parameter for sensor network. In this paer, we use artificial intelligence to deploy sensor node with objective of maximize life of network. Simulation results shows that proposed method perform well.