Probability and suboptimal distance based lifetime prolong algorithms for wireless sensor networks

Authors:
Jinfeng Dou;Zhongwen Guo;Jiabao Cao;Guangxu Zhang;Guangyue Li
Affiliations:
Ocean University of China, Qingdao, China;Ocean University of China, Qingdao, China;Lucent Technologies Telecommunication Systems, Ltd., Qingdao, China;Ocean University of China, Qingdao, China;Ocean University of China, Qingdao, China
Venue:
Proceedings of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing
Year:
2008

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Abstract

In the wireless sensor networks, prolonging network lifetime is an important aim. Unbalanced energy consumption influences the network lifetime greatly. First this study proposes probability based energy balancing algorithms. A hybrid transmission mechanism is introduced. The sensor node forwards data either by one-hop direct transmission or by multiple small hops with the probability. This study focuses on a novel transmission probabilities finding algorithm, in which the transmission probabilities for each slice are obtained to even out the energy consumption efficiently. Then, a sub-optimal distance based energy optimization algorithm is proposed to optimize energy consumption. It optimizes the slice width and selects relays by sub-optimal distance near the optimum radio range, saves more energy and improves the network lifetime efficiently. Our claims are well supported by comparative simulations.