Performance Evaluation of Optimized Forwarding Strategy for Flat Sensor Networks

Network lifetime is the most important concern in designing a routing protocol for wireless sensor networks. To address the issue we have proposed optimized forwarding by fuzzy inference systems (OFFIS) for flat sensor networks [1]. The OFFIS protocol selects the best node from candidate nodes in the forwarding paths by favoring small hops, shortest path, maximum remaining battery power and link usage. The core strategy of OFFIS is to conserve as well as to distribute energy dissipation evenly in a decentralized manner. In this paper we compare OFFIS with the minimum transmit energy (MTE) technique and show that the lifetime can be improved notably.