Maximum lifetime routing in wireless sensor network using realistic battery model

Abstract

Capacity of the battery is used to be specified in Ampere-Hour. So far, while designing a routing protocol people are considering this capacity of battery like water in a tank. That is, if C is the capacity of tank and water drawn out of it with rate R then total time to evacuate is T=C/R. On contrary, the batteries show rate capacity effect. That is, capacity of a battery decreases with increase in discharge current. Thus lifetime of the battery also decreases significantly with increase in discharge current. To the best of our knowledge this effect of a realistic battery model has never been considered while designing a routing protocol. Thus practically a battery gives a lifetime that is very less in comparison to what is theoretically estimated. We are presenting here two types of power aware algorithms to overcome this issue. In our algorithm rate capacity effect, minimum drain rate and minimum transmission power constraints are exploited altogether as a metric to design routing protocol, which minimizes rate capacity effect and ultimately gives improved lifetime of the sensor network