scholarly journals Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

2020 ◽  
Vol 17 (2) ◽  
pp. 509-536
Author(s):  
Arafat Senturk ◽  
Resul Kara ◽  
Ibrahim Ozcelik
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Image Compression ◽  
Data Transmission ◽  
Wireless Multimedia Sensor Networks ◽  
Environmental Data ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Application Layer ◽  
Multimedia Sensor Networks

Wireless Sensor Networks (WSN) are the networks that can realize data processing and computation skills of sensor nodes over the wireless channel and they have several communication devices. Wireless Multimedia Sensor Networks (WMSN) are the networks composed of low-cost sensor nodes that transmit realtime multimedia data like voice, image, and video to each other and to sink. WMSN needs more energy and bandwidth than WSN since they transmit a larger amount of data. The size of the data transmitted by the sensor nodes to each other or the sink becomes an important factor in their energy consumption. Energy consumption is a fundamental issue for WMSN. Other issues that affect the progress of WMSN are limited bandwidth and memory constraints. In these networks, for which the node battery lives are important sources, the limited sources must be effectively used by decreasing the transmitted data amount by removing the redundant data after proper processing of the environmental data. A new algorithm is developed to minimize the energy consumption during image data transmission between sensor nodes on WMSN, and so, make the nodes use their most important source, battery life effectively in this study. This algorithm is named as Energy-aware Application Layer Algorithm based on Image Compression (EALAIC). This algorithm makes use of the top three image compression algorithms for WMSN and decides instantly to which one is the most efficient based on three parameters: the distance between the nodes, total node number, and data transmission frequency. In this way, the sensor node battery lives are used efficiently. The performance analysis of the developed algorithm is also done via Network Simulator ? 2 (NS ? 2) and it is compared by the existing algorithms in terms of energy rate (consumed energy/total energy) and PSNR (Peak Signal to Noise Ratio).

scholarly journals A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 667
Author(s):  
Chong Han ◽  
Songtao Zhang ◽  
Biao Zhang ◽  
Jian Zhou ◽  
Lijuan Sun
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Solar Energy ◽  
Image Compression ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Compression Scheme ◽  
Multimedia Sensor Networks ◽  
Normal Node

As an emerging technology, edge computing will enable traditional sensor networks to be effective and motivate a series of new applications. Meanwhile, limited battery power directly affects the performance and survival time of sensor networks. As an extension application for traditional sensor networks, the energy consumption of Wireless Multimedia Sensor Networks (WMSNs) is more prominent. For the image compression and transmission in WMSNs, consider using solar energy as the replenishment of node energy; a distributed image compression scheme based on solar energy harvesting is proposed. Two level clustering management is adopted. The camera node-normal node cluster enables camera nodes to gather and send collected raw images to the corresponding normal nodes for compression, and the normal node cluster enables the normal nodes to send the compressed images to the corresponding cluster head node. The re-clustering and dynamic adjustment methods for normal nodes are proposed to adjust adaptively the operation mode in the working chain. Simulation results show that the proposed distributed image compression scheme can effectively balance the energy consumption of the network. Compared with the existing image transmission schemes, the proposed scheme can transmit more and higher quality images and ensure the survival of the network.

scholarly journals QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

2019 ◽  
Vol 2019 ◽  
pp. 1-33
Author(s):  
Muwonge Ssajjabbi Bernard ◽  
Tingrui Pei ◽  
Kimbugwe Nasser
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
System Optimization ◽  
Wireless Multimedia Sensor Networks ◽  
Sensor Data ◽  
Cross Layer ◽  
Wireless Multimedia ◽  
Application Layer ◽  
Mac Layer ◽  
Multimedia Sensor Networks

Wireless multimedia sensor networks (WMSNs) have got capacity to collect both scalar sensor data and multidimensional sensor data. It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. In this paper, we review a number of QoS strategies for WMSNs and wireless sensor networks (WSNs) in the IoT context from the perspective of the MAC and application layers as well as the cross-layer paradigm. Considering the MAC layer, since it is responsible for regulating the admittance to the shared medium and transmission reliability and efficiency through error correction in wireless transmissions, and for performance of framing, addressing, and flow control, the MAC protocol design greatly affects energy efficiency. We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. Cross-layer QoS strategies are very vital when it comes to system optimization. Many cross-layer strategies have been reviewed. For these QoS strategies, the challenges and opportunities are reviewed at each of the layers considered. Lastly, the future research directions for QoS strategies are discussed for research and application before concluding this paper.

scholarly journals Robust Evolutionary-Game-Based Routing for Wireless Multimedia Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3544 ◽  
Author(s):  
Md Arafat Habib ◽  
Sangman Moh
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
Evolutionary Game ◽  
Wireless Multimedia Sensor Networks ◽  
Multimedia Data ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Multiple Sinks

Nowadays, wireless multimedia sensor networks (WMSNs) are used in various applications. An energy-efficient and robust routing protocol is essential for WMSNs because the quality of service is important for traffic-intensive multimedia data, such as images and videos. A WMSN with multiple sinks allows cluster heads (CHs) to deliver the collected data to the nearest sink, thereby mitigating the delivery overhead. In this study, we propose a novel evolutionary-game-based routing (EGR) protocol for WMSNs with multiple sinks, in which the evolutionary game theory is exploited for selecting CHs. In EGR, an algorithm to mitigate data redundancy, based on the overlapping field of views of the multimedia sensor nodes, is also presented. This algorithm decreases the number of redundant transmissions, thereby increasing energy efficiency and network performance. According to the performance evaluation results of this study, the proposed EGR significantly outperforms the state-of-art protocols in terms of energy efficiency, end-to-end delay, packet delivery ratio, cluster formation time, and network lifetime.

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