Dou Jin-feng, Guo Zhong-wen, Cao Jia-bao, Zhang Guang-xu. Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1226-1229. doi: 10.3724/SP.J.1146.2007.01125
Citation:
Dou Jin-feng, Guo Zhong-wen, Cao Jia-bao, Zhang Guang-xu. Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1226-1229. doi: 10.3724/SP.J.1146.2007.01125
Dou Jin-feng, Guo Zhong-wen, Cao Jia-bao, Zhang Guang-xu. Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1226-1229. doi: 10.3724/SP.J.1146.2007.01125
Citation:
Dou Jin-feng, Guo Zhong-wen, Cao Jia-bao, Zhang Guang-xu. Probabilities Based Energy Balance Algorithms for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1226-1229. doi: 10.3724/SP.J.1146.2007.01125
In the wireless sensor networks, unbalanced energy consumption has a strong impact on the network lifetime. The novel energy balance algorithms based on hybrid transmission probabilities are developed to prolong the network lifetime. The circle network model is divided into some ring sections (or slices), and the sensor nodes in each slice transmit data by hybrid transmission. The hybrid transmission probabilities finding algorithm is then presented to balance energy consumption of each sensor node. A set of probabilities for each slice can be obtained to decide the transmission mode of each sensor node and to better even out the energy consumption. This research further analyzes and optimizes the slice width. Simulations show that the algorithms can efficiently decrease energy consumption and prolong the network lifetime.