Routing Alternatives for Network Lifetime Maximization of WSNs using Heuristic and Fuzzy Logic Approach
Deepak S. Gaikwad1, Sampada Pimpale2
1Deepak S. Gaikwad, Dept. of Electronics & Telecommunication, G. S. M. C. O. E, Balewadi, Pune, Pune University, India.
2Sampada Pimpale, Dept. of Electronics & Telecommunication, G. S. M. C. O. E, Balewadi, Pune, Pune University, India.
Manuscript received on May 02, 2013. | Revised Manuscript Received on May 11, 2013. | Manuscript published on May 20, 2013. | PP: 28-35 | Volume-1, Issue-6, May 2013. | Retrieval Number: F0227051613/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recently many network lifetime maximization approaches and techniques have gained importance and are proposed for enhancing the lifetime of the wireless sensor networks. The distributed and dynamic nature of the WSNs, demand for special requirements in routing protocols in order to minimize the energy consumption and enhance the network lifetime. A large number of routing strategies based on Fuzzy logic approach are proposed in the past for energy aware routing in WSNs. Also heuristic method such as A star routing scheme which is based on informed search method is used to increase network life. A star algorithm finds an optimal shortest path from a source node to target node taking a minimum number of hops and also avoids network partitioning. In this paper the effectiveness of two methods in terms of maximization of network lifetime and balancing the energy consumption has been compared. The simulation results show that the Fuzzy logic approach gives more good results than the A star algorithm in different topographical situations.
Keywords: Wireless sensor Network, Network lifetime maximization, A star algorithm, Fuzzy logic.