Optimized Routing Algorithm for Wireless Sensor Networks
01 Jan 2021-pp 83-96
TL;DR: Three new algorithms for routing by modifying the existing algorithm known as A-star algorithm are proposed to find the optimal path between the source and the destination nodes to reduce the path length and the execution time.
Abstract: Communication systems have been progressed tremendously in the past two decades. A large part of this success can be attributed to the discovery of various new algorithms in the wireless sensor networks. This paper proposes three new algorithms for routing by modifying the existing algorithm known as A-star algorithm to find the optimal path between the source and the destination nodes. This paper places a special emphasis on reducing the path length between the source and destination nodes which in turn reduce the execution time as well as the resource spent in finding the optimal path between the source and the destination node. The new algorithms proposed are named as diagonal A-star (DA*) which gives the diagonal path search ability to the existing A-star (A*) algorithm, bidirectional A-star (BIDA*) which gives the ability of traversing from both source and destination nodes at the same time hence reduces the execution time and the third algorithm known as diagonal-bidirectional combined which combines the ability of both; the above newly proposed algorithms propose a more optimized routing solution between the source and destination nodes.
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TL;DR: A new routing method for WSNs to extend network lifetime using a combination of a fuzzy approach and an A-star algorithm to determine an optimal routing path from the source to the destination by favoring the highest remaining battery power, minimum number of hops, and minimum traffic loads is proposed.
Abstract: Wireless sensor networks (WSNs) are used in many applications to gather sensitive information which is then forwarded to an analysis center. Resource limitations have to be taken into account when designing a WSN infrastructure. Unbalanced energy consumption is an inherent problem in WSNs, characterized by multihop 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 an A-star algorithm. The proposal is to determine an optimal routing path from the source to the destination by favoring the highest remaining battery power, minimum number of hops, and minimum traffic loads. 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 A-star search algorithm and fuzzy approach using the same routing criteria in two different topographical areas. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly 25% more than that obtained by the A-star algorithm and by nearly 20% more than that obtained by the fuzzy approach.
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140 citations