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Optimization of Power Allocation in Multimedia Wireless Sensor Networks

Optimization of Power Allocation in Multimedia Wireless Sensor Networks

Ming Yang, Dajin Wang, Nikolaos Bourbakis
Copyright: © 2013 |Volume: 1 |Issue: 1 |Pages: 13
ISSN: 2166-7241|EISSN: 2166-725X|EISBN13: 9781466631847|DOI: 10.4018/ijmstr.2013010104
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MLA

Yang, Ming, et al. "Optimization of Power Allocation in Multimedia Wireless Sensor Networks." IJMSTR vol.1, no.1 2013: pp.56-68. http://doi.org/10.4018/ijmstr.2013010104

APA

Yang, M., Wang, D., & Bourbakis, N. (2013). Optimization of Power Allocation in Multimedia Wireless Sensor Networks. International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 1(1), 56-68. http://doi.org/10.4018/ijmstr.2013010104

Chicago

Yang, Ming, Dajin Wang, and Nikolaos Bourbakis. "Optimization of Power Allocation in Multimedia Wireless Sensor Networks," International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) 1, no.1: 56-68. http://doi.org/10.4018/ijmstr.2013010104

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Abstract

Wireless Sensor Networks (WSN) have been widely applied in monitoring and surveillance fields in recent years and have dramatically changed the methodologies and technologies in monitoring and surveillance. However, the sensor nodes in WSN have very limited computing resources and power supply, and thus the maximization of network life is 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 thus 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, the authors propose mathematical models which describe power consumptions of data compression and transmission of sensor nodes in hexagon-shaped clusters. Under the proposed model, they have achieved the optimized data compression ratio which can minimize the overall power consumption of the whole cluster.

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