Balancing Energy Consumption in Wireless Sensor Networks Using Biogeography Based Optimization Algorithm and Fuzzy Approach

Authors

  • Basim Abood yasir phD Student, Huazhong University of Science and Technology, Department of Electronics and Information Engineering Communication and Information SystemsWuhan,430074,P.R.China
  • Yu Li National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan, China 430074
  • Aliaa Hussien Baghdad University, College of Science, Department of astronomy.
  • Desheng Wang National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan, China 430074

DOI:

https://doi.org/10.24297/ijct.v15i3.1682

Keywords:

Biogeography Based Optimization (BBO) algorithm, fuzzy logic, network lifetime, routing, wireless sensor networks (WSNs)

Abstract

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.

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Published

2016-01-14

How to Cite

yasir, B. A., Li, Y., Hussien, A., & Wang, D. (2016). Balancing Energy Consumption in Wireless Sensor Networks Using Biogeography Based Optimization Algorithm and Fuzzy Approach. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 15(3), 6596–6607. https://doi.org/10.24297/ijct.v15i3.1682

Issue

Section

Research Articles