Probability and suboptimal distance based lifetime prolong algorithms for wireless sensor networks
Jinfeng Dou, Zhongwen Guo, Jiabao Cao, Guangxu Zhang, Guangyue Li · 2008
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.