Wireless sensor network (WSN) is widely applied in many fields since its emergence. However, the limited resources of a sensor, especially limited battery life, limited bandwidth and limited processing power, are the main challenges for deploying and operating WSNs. This paper proposes a novel architecture based on cloud computing for wireless sensor network, which can improve the performance of WSN. Based on this architecture, a cloud acts as a virtual sink with many sink points that collect sensing data from sensors. Each sink point is responsible for collecting data from the sensors within a zone. Sensing data are stored and processed in distributed manner in cloud. Our simulation results show that the proposed architecture improves the performance of WSN, e.g., reduced packet transmission error rate, decreased number of end-to-end hops, and improved efficiency of energy consumption.

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A Novel Architecture Based on Cloud Computing for Wireless Sensor Network

The emerging use of Wireless Multimedia Sensor Networks (WMSNs) and communication facilities have increased the need for network security measures to protect different types of multimedia data either real time or non-real time during the transmission period. A lot of researchers are becoming more interested on secure WMSNs due to the broad application necessities which can be range over smart environment, security surveillance and smart health-care; so requirements on secure aggregation of multimedia data, Quality of Service (QoS) and privacy should be satisfied. Current technologies vs. proposed security techniques in WMSNs and its pros and cons from a security point of view are explored in details. In addition to promising future trends of this research area by giving more attention for new challenging problems including secure routing protocol, fault tolerant, robustness and recovery process. We believe that this paper will add significantly a valuable discussion among the researchers and promote them to fetch new research ideas to design approximately best model by combining the most important security issues in order to reach secure WMSNs.

Securing data exchange in wireless multimedia sensor networks: perspectives and challenges

Wireless multimedia sensor networks (WMSNs), is an ad hoc network of wirelessly connected sensor nodes that allow retrieving video and audio streams, still images, and scalar sensor data but such sensors are limited in energy, memory, communication, and computational power. Multimedia transmission over wireless sensor network (WSN) is a challenging task due to quality-of-service(QoS) guarantees such as huge amount of bandwidth, strict delay, and lower loss ratio. Recently, cross-layer approach adopted by WMSNs shows a promising approach that improves quality of multimedia transmitted over WSNs under different wireless conditions. In this paper, an energy aware and adaptive cross layer scheme to transmit multimedia content over WSNs is presented. It provides packet, queue, and path scheduling, so that it selects optimal video encoding parameters at application layer according to current wireless channel state, and schedules packets according to its type through an adaptive priority video queue so that less important packets are dropped in case of network congestion. Finally, path scheduling is introduced so that different packets types/priority are routed through different paths with different QoSs considering network lifetime. Simulation results show that new scheme transmits video over WSNs efficiently and meets QoS requirements and uses energy wisely to prolongs network lifetime.

Energy Aware and Adaptive Cross-Layer Scheme for Video Transmission Over Wireless Sensor Networks

Deep learning-based automatic recognition network of agricultural machinery images

Energy conservation in resource constrained wireless sensor networks (WSNs) is an important concern Techniques such as, energy conserving MAC protocols have been proved to be efficient to minimize the energy consumption in such networks However, techniques based on in-network data compression have dominated recent research works for reducing the network traffic thereby improving the network lifetime A large number of compression techniques have been proposed in recent years with diverse applications in WSNs This work presents a comprehensive analysis of various existing in-network data processing techniques based on compressed sensing in WSNs The essential features, requirements and characteristics of compression algorithms in WSNs, are discussed in detail with a classification of existing algorithms into different categories A set of parameters are identified for a comparative evaluation of these algorithms to determine the efficacy of such in-network data processing techniques in an environment such as a WSN

In-Network Data Processing Based on Compressed Sensing in WSN: A Survey

The invention provides a lower power consumption wireless sensor network node device capable of monitoring vibration continuously, wherein a power supply module, a communication module and a sensor module are connected with a microprocessor. The power supply module is structurally characterized in that the output ends of a solar battery and a lithium battery are connected with three input ends ofa first analogue switch respectively. The output end of the first analogue switch is connected with the power supply interface of the microprocessor. The signal output end of a self-sourced vibrationsensor is respectively connected with the signal input end and the interruption port of the microprocessor through a first operational amplifier and a comparator. The signal output end of an external-sourced acceleration sensor is connected with the other signal input end of the microprocessor through a second operational amplifier and the power supply end of the external-sourced acceleration sensor is controlled by the second analogue switch of the microprocessor and connected with the current power supply output end selected by the node. The device has the advantages of obvious energy-saving effect and can ensure the long-term continuous work of the network node of the wireless sensor.

Lower power consumption wireless sensor network node device capable of monitoring vibration continuously

There are a large number of video data have to be processed and transmitted in resource-constrained wireless multimedia sensor networks (WMSN). One possible way of achieving maximum utilization of those resources is to apply an adaptive image coding scheme, which must consider the trade-off between energy consumption and image quality. The the major research challenges and objectives of image coding for WMSN are discussed. Distributed image coding schemes especially designed for WMSN and some theoretical explorations are investigated and classified, including Wyner-Ziv coding and collaborative coding.

Distributed image coding in wireless multimedia sensor networks: A survey

This paper proposes two improved lossless data compression schemes based on Lempel-Ziv-Welch coding (LZW) for wireless sensor networks. The schemes preprocess numeric data in different ways to adapt the data characteristics. In order to increase the compression rate, the value span of data is decreased by calculating increment between the sample sequence and the base value. Since the LZW is commonly effective for text data but do not apply to numeric data, the increments are replaced into the English characters respectively. Using the IAR 430 Development Environment for ultra-low power MSP430 series microcontrollers, the paper verifies the improved schemes, and the simulation tests show the improved lossless data compression schemes have remarkable superiority in reducing storage space and increasing the compression ratio.

Design and realization of improved LZW algorithm for wireless sensor networks

The invention provides an ultra-low-power design method for a wireless sensor network node. The method comprises the steps of: confirming a permissible current of each module according to the sequence of a wireless communicator, a micro processor and a sensor based on an average power consumption of expected nodes and modules and a duty ratio demand of the wireless communicator, the micro processor and the sensor, designing an implement scheme for each module according to the selected parts, designing an intelligent power supply module capable of maintaining high use efficiency according to the loading scope of different modules so as to decrease the power consumption of each component of the node, and designing the sequence of cooperative work of the modules according to the practical application and controlling the modules working based on the sequence by the micro processor so as to decrease the peak point current of the node.

Ultra-low-power design method for wireless sensor network node

The problem of compression of video-surveillance sequences collected by a wireless multimedia sensor networks is studied. To reduce computation complexity, a low-complexity image compression scheme based on change detection and adapted JPEG is proposed. Change detection is used to locate the region of interest and cut down the data for transmission, fast DCT is used to reduce the computation complexity. Such an image compression scheme provides a graceful trade-off between the reconstructed images quality and the lifetime of sensor nodes. Simulations on the parking lot images are conducted to show the performance of our work.

Shaoqiang Liu

Papers

Lower power consumption wireless sensor network node device capable of monitoring vibration continuously

Distributed image coding in wireless multimedia sensor networks: A survey

Design and realization of improved LZW algorithm for wireless sensor networks

Ultra-low-power design method for wireless sensor network node

Low complexity image compression for wireless multimedia sensor networks