A generic internet of things architecture for controlling electrical energy consumption in smart homes

The Internet of Things (IoT) lay down a platform for global communication among millions of electronic devices connected to the internet. These devices and electronic appliances included both wireless and wired sensors, home appliances such as Television, refrigerator, etc., radio frequency identifications (RFID), and so. Similarly, heterogeneous networks provide a platform for media independent communications. However, there exist several issues in using heterogeneous technologies for IoT communications. These challenges include the co-existence of wireless technologies such as ZigBee, Bluetooth and WIFI, cross-layer communications, high packet loss due to interferences with electronic devices, etc. Similarly, IoT is a new paradigm for interconnecting electronic devices, thus, it needs major refinement for standardising it for various services. In order to address the aforementioned challenges, we proposed a scheme for enabling a generic IoT framework and platform for various IoT embedded devices. The working of the proposed scheme is twofold, (1) discovering and collecting information from IoT enabled devices using sensors and (2) scheduling the working of these appliances based on the data collected using sensors attached to these devices. Further, the data is transferred to Hadoop ecosystem for processing and analyzing to disseminate the relevant information to the citizen. Moreover, the proposed system is tested in a smart home scenario by installing sensors attached to various home appliances. The energy consumption and packet loss occur due to available electronic appliances, and heterogeneous devices are computed and analyzed for planning an optimal scheduling scheme and load balancing. Similarly, data from various authentic sources is analyzed using Hadoop ecosystem and disseminate it to the citizen in real-time.

Designing Smart Control Systems Based on Internet of Things and Big Data Analytics

Space information network (SIN) plays an extremely important role in civil and military applications. However, a specific definition of SIN still remains a challenging issue. Unlike space communication network (SCN), which merely focuses on information delivery, SIN has the ability to process the delivered information and providing corresponding services based on the information, which makes SIN seem to be able to understand information. This paper offers architecture and corresponding network model for time-space uninterrupted SIN. Initially, both physical and logical constitution of SIN architecture are presented with several corresponding constellation designs, which is the fundamental work for setting nodes in SIN. Based on this SIN architecture, a hierarchical autonomous system (AS)-based network model for SIN is proposed in order to manage SIN more efficiently by separating the whole network into several relatively stable ASs. Furthermore, we analyze topology control schemes and network capacity trend of AS-model based SIN. This paper gives the future research directions in the conclusion.

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Architecture and Network Model of Time-Space Uninterrupted Space Information Network

As a promising use-case of the Internet of Things (IoT), wildlife tracking and monitoring applications greatly benefit the ecology-related research both commercially and scientifically. In literature, a forward-wait-deliver strategy has been researched to facilitate energy-efficient dissemination of delay-tolerant information, which penitentially contributes to long-term tracking and monitoring. However, this strategy is not directly applicable for wildlife tracking and monitoring applications, as the movement trajectory of animals cannot be precisely predicted for relay selection. To this end, further studies are required to utilize partially predictable mobility based on more generalized navigational information such as the movement direction. In this paper, the feasible exploitation of directional movement in path-unconstrained mobility is investigated for strategic forwarding. Our proposal is an advance to the state-of-the-art because the directional correlation of destination movement is considered to dynamically exploit the node mobility for the optimal selection of a stationary relay. Simulation results show that higher delivery utility can be achieved by the proposed fuzzy path model compared with a forwarding scheme without contact prediction or one based on linear trajectory model.

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Movement-Aware Relay Selection for Delay-Tolerant Information Dissemination in Wildlife Tracking and Monitoring Applications

Wireless sensor network (WSN) studies have been carried out for multiple years. At this stage, many real WSNs have been deployed. Therefore, configuration and updating are critical issues. In this paper, we discuss the issues of configuring and updating a wireless sensor network (WSN). Due to a large number of sensor nodes, in addition to the limited resources of each node, manual configuring turns out to be impossible. Therefore, various auto-configuration approaches have been proposed to address the above challenges. In this survey, we present a comprehensive review of auto-configuration mechanisms with the taxonomy of classifications of the existing studies. For each category, we discuss and compare the advantages and disadvantages of related schemes. Lastly, future works are discussed for the remaining issues in this topic.

Auto-Configuration in Wireless Sensor Networks: A Review.

Wireless sensor networks (WSNs) are widely applied in monitoring and control of environment parameters. It is sometimes necessary to disseminate data through wireless links after they are deployed in order to adjust configuration parameters of sensors or distribute management commands and queries to sensors. Several approaches have been proposed recently for data dissemination in WSNs. However, none of these approaches achieves both high efficiency and low complexity simultaneously. To address this problem, cluster-tree based network architecture, which divides a WSN into hierarchies and clusters is proposed. Upon this architecture, data is delivered from base station to all sensors in clusters hierarchy by hierarchy. In each cluster, father broadcasts data to all his children with instantly decodable network coding (IDNC), and a novel scheme targeting to maximize total transmission gain (MTTG) is proposed. This scheme employs a new packet scheduling algorithm to select IDNC packets, which uses weight status feedback matrix (WSFM) directly. Analysis and simulation results indicate that the transmission efficiency approximate to the best existing approach maximum weight clique, but with much lower computational overhead. Hence, the energy efficiency achieves both in data transmission and processing.

Data dissemination in wireless sensor networks with instantly decodable network coding

This article investigates the topology control problem in the space information network (SIN) using a hierarchical autonomous system (AS) approach. We propose an AS network topology control (AS-TC) algorithm to minimize the time delay in the SIN. Compared with most existing approaches for SIN where either the purely centralized or the purely distributed control method is adopted, the proposed algorithm is a hybrid control method. In order to reduce the cost of control, the control message exchange is constrained among neighboring sub-AS networks. We prove that the proposed algorithm achieve logical k-connectivity on the condition that the original physical topology is k-connectivity. Simulation results validate the theoretic analysis and effectiveness of the AS-TC algorithm.

A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network

We propose a selective retransmission (SR) protocol for relay-assisted multicast systems with instantly decodable network coding (IDNC). Our protocol consists of three stages, the initial transmission stage, selective retransmission stage, and relay retransmission stage. To reduce the computational complexity, weighted packet scheduling (WPS) algorithm, which is used to select coded packets in greed manner has been presented. The object of our protocol and algorithm is to maximize transmission gain so as to minimize completion time. The simulation results indicate that our new SR-WPS scheme achieves good performance in terms of block completion time.

Minimizing Completion Time for Relay-Assisted Multicast With Instantly Decodable Network Coding

The nonlinearity characteristic in satellite channel will causes spectrum regrowth and adjacent channel interference, which may have bad influence on communication system. In order to compensate for nonlinear distortion in satellite channel, combining with 16APSK, a digital baseband predistortion method based on Look-Up Table (LUT) is studied. Simulation results show that the method can improve the linearity of satellite channel and reduce spectrum regrowth, it can improve the bit error rate (BER) performance too.

Liang Gou

Papers

Data dissemination in wireless sensor networks with instantly decodable network coding

A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network

Minimizing Completion Time for Relay-Assisted Multicast With Instantly Decodable Network Coding

Research on predistortion technology based on look-up table for 16APSK in satellite channel