Maximizing the Lifetime of Daley-Tolerant Wireless Sensor Networks Using Fuzzy System

Abstract

One of the challenges in wireless sensor network is prolonging the network lifetime for sustaining long-term operation with limited resources. The energy of sensor nodes is mostly utilized for data transmission to the Sink. So many researches have been done about reducing sensor nodes energy consumption. Nonetheless, the most part of such researches have not considered sink travelling time. This paper proposes an approach to maximize the sensor network lifetime using fuzzy sink locations management when the underlying applications tolerate delayed information delivery to the sink. We have considered the time of sink movement between different stations using a sink speed regulator. According to the simulation results, the proposed scheme has increased the residual energy of network and has prolonged network lifetime significantly as compared to all approaches that we know. In addition, simulation results show that the network lifetime increases significantly when the number of sink locations increases. We also show that increasing the delay tolerance level does not affect on the network energy consumption and its lifetime.