A Power Adapting CODE Algorithm Applying in the Wireless Sensor Networks

In order to sustain a longer lifetime, an important research in the Wireless Sensor Network (WSN) is to improve power efficiency. Review of many technologies in the involvement, the essential idea is to remove power redundancy. The GAF algorithm is able to get a WSN with longer lifetime by reducing the node redundancy in transmitting data, On the other hand, the CODE, based on the GAF algorithm, is able to deliver data according to the data direction that is, as a result, reduce the probability of blandness of data delivery and reduce the power consumption. Algorithms if rooted on the GAF algorithm will have an important characteristic that the denser the nodes are distributed, the longer the lifetime is, However, when node distribution is getting denser, the distance between nodes will be closer, and the power if transmitted still in the same power level for data delivery will no doubt bring about power redundancy and even commit data confliction. In this paper, we come forward an algorithm on the basis of the CODE algorithm, namely the adapting CODE (ACODE) which is able to adaptively change the data transmitting power on each node, reducing power consumption, and accordingly prolong the lifecycle for a specific WSN. According to ACODE algorithm, when a route is establishing, a specific package for measuring power is sent out to measure the optimal transmitting power, and this optimal power will be used throughout the whole procedure of data transmission. The NS simulation in this paper verifies that, comparing with the CODE algorithm, the ACODE can improve lifecycle for a WSN as much as 20 percentages.