Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Online power-aware routing in wireless Ad-hoc networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
An Online Heuristic for Maximum Lifetime Routing in Wireless Sensor Networks
IEEE Transactions on Computers
On the Energy Cost of Communication and Cryptography in Wireless Sensor Networks
WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
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A wireless sensor network consists of a large number of distributed independent sensors. One of the major challenges is to use energy conserving routing algorithms that can find paths which consume the minimum energy. Recent researches on maximising the lifetime of WSN, like the online maximum lifetime OML, and capacity maximisation CMAX heuristic were intended to do so. Others applied a new method for power management to increase the node lifetime by focusing on the node level. In this paper, we propose a realistic power consumption technique using realistic variables to compute the power consumption on each node using the shortest path. The result shows that our technique has the best result. Also, it shows that when applying the realistic consumption technique on the wireless sensor system, it has a higher lifetime when using the uniform distribution than the Poisson distribution.