Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in wireless sensor networks (WSNs) research. When designing a WSN infrastructure Resource limitations have to be taken into account. The inherent problem in WSNs is unbalanced energy consumption, characterized by multi hop routing and a many-to-one traffic pattern. This uneven energy dissipation can significantly reduce network lifetime. This paper proposes a new routing method for WSNs to extend network lifetime using a combination of a fuzzy approach and Biogeography Based Optimization (BBO) algorithm. Determine an optimal routing path from the source to the destination by favoring the highest remaining battery power, and the lowest distance (minimum number of hops) to the sink. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, we compare our approach with the BBO search algorithm and fuzzy approach using the same routing criteria. Simulation results demonstrate that the network lifetime is significantly increased by employing the proposed routing method.
Balancing Energy Consumption in Wireless Sensor Networks Using Biogeography Based Optimization Algorithm and Fuzzy Approach
2016-01-14
doi:10.24297/ijct.v15i3.1682
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol. 15 No. 3 (2016); 6596-6607 ; 2277-3061
Article (Journal)
Electronic Resource
English
DDC: | 629 |
British Library Online Contents | 2018
|Weight Selection of Multi-scale Retinex Based on Biogeography Optimization Algorithm
British Library Online Contents | 2017
|