Toward power consumption in wireless sensor networks routing technique

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.