Compression/transmission power allocation in multimedia Wireless Sensor Networks

Wireless Sensor Networks (WSN) have been widely deployed in monitoring and surveillance in recent years, and have dramatically changed the related methodologies and technologies. Despite WSN's popularity, the sensor nodes in WSN have very limited computing resources and power supply, and thus t...

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Bibliographic Details
Published in2014 International Conference on Computing, Networking and Communications (ICNC) pp. 1103 - 1107
Main Authors Ming Yang, Lei Chen, Weiqiang Xiong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2014
Subjects
Cluster
Compression
Data communication
Data compression
Data models
Multimedia
Multimedia communication
Power
Power demand
Sensor
Streaming media
Transmission
Wireless
Wireless sensor networks
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Summary:Wireless Sensor Networks (WSN) have been widely deployed in monitoring and surveillance in recent years, and have dramatically changed the related methodologies and technologies. Despite WSN's popularity, the sensor nodes in WSN have very limited computing resources and power supply, and thus the maximization of network life has become a very critical issue. In the newly-emerging Wireless Multimedia Sensor Network (WMSN), the high volume of sensed video data needs to be compressed before transmission. Different video coding schemes have been developed and applied to wireless multimedia sensor networks, and there exists a tradeoff between the power consumption of data compression and that of data transmission. Video compression will reduce the amount of data that needs to be transmitted and in turn the amount of power consumed for data transmission; however, too much video compression will consume excessive power which outweighs the power savings on data transmission. Thus, how to reach an optimized balance between compression and transmission and maximize network life becomes a challenging research issue. In this paper, we propose mathematical models which describe power consumptions of data compression and transmission of sensor nodes in hexagon-shaped clusters. Under the proposed model, we have achieved the optimized data compression ratio which minimizes the overall power consumption of the whole cluster.
DOI:10.1109/ICCNC.2014.6785493