Deployment Strategy Effect on Maximizing the Lifetime of Wireless Sensor Networks

摘要

Wireless sensor networks deployed in the real environment require much longer lifetime in order to send maximum number of packets to its destination. Heuristics were designed to maximize the lifetime of sensors, when they are distributed randomly, using Uniform distribution, such as: Online Maximum Lifetime (OML), Maximum Residual Packet Capacity (MRPC), and Capacity Maximization (CMAX). These routing heuristics are used to enhance the sensors power and for maximizing lifetime. Previous research assumed Uniform distribution for the probability of connectivity between each sensor, which is best fit symmetric environment. In real life deployment of sensors, the placement of sensors will follow asymmetric rather than symmetric environment due to terrain differences. In this paper, we investigate the performance of the aforementioned heuristics in order to investigate the effect of connectivity on the lifetime using Poisson distribution. The simulation results show that the OML heuristic has superiority over the CMAX and the MRPC heuristics in terms of average lifetime, network capacity and enhancing the required energy to transmit a packet. The experiments indicate that the average lifetime when using Poisson Distribution is less than the average lifetime when using Uniform Distribution. The results also reveal that the CMAX heuristics is more stable when changing the deployment strategy.