Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Utilizing Solar Power in Wireless Sensor Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Solar-aware clustering in wireless sensor networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
ICN '07 Proceedings of the Sixth International Conference on Networking
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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Wireless Sensor Network (WSN) has been considered as a promising method for reliably monitoring both civil and military environments under hazardous conditions. Due to such condition, the power supply for sensor in the network cannot be usually rechargeable or replaceable. Thus, instead of battery replacement, we develop a solar energy recharging hardware to charge the battery of sensors to prolong the lifetime of each sensor recharging in the network. The proposed method, however, has a problem. Each node cannot be charged with the same amount of power depending on its physical location. The classic LEACH protocol deploys the randomize rotation of cluster-heads to evenly distribute the energy load among sensors without considering the unbalanced residual energy of each node. So some enhanced solar aware LEACH protocols have been proposed, but it is not much efficient for prolonging the lifetime of network. This paper proposes an advanced LEACH algorithm which prioritizes each sensor for the cluster--head election according to its current energy and rate of energy harvesting. The simulation results and analysis show that our proposed algorithm could outperform existing methods in terms of the number of alive nodes.