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.
Highlights
Sensor nodes in the large-scale data-gathering networks are generally powered by small and inexpensive batteries in expectation of surviving for a long period [1]
We propose a new approach by combining Fuzzy approach and Biogeography Based Optimization algorithm by selected the select the optimal routing path from source to destination by considering the above criteria (Remaining Energy and Minimum Hop) and balancing between them to lengthen the lifetime of the sensor network as much as possible
Unbalanced energy consumption is an inherent problem in a wireless sensor networks (WSNs)
Summary
Sensor nodes in the large-scale data-gathering networks are generally powered by small and inexpensive batteries in expectation of surviving for a long period [1]. The authors in [9] presented a novel algorithm for routing analysis in WSNs utilizing a fuzzy logic at each node to determine its capability to transfer data based on its relative energy levels, distance and traffic load to maximize the lifetime of the sensor networks. The proposed method seeks to investigate the problems of balancing energy consumption and maximizing network lifetime for WSNs. We propose a new approach by combining Fuzzy approach and Biogeography Based Optimization algorithm by selected the select the optimal routing path from source to destination by considering the above criteria (Remaining Energy and Minimum Hop) and balancing between them to lengthen the lifetime of the sensor network as much as possible.
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