Abstract
The wireless sensor network (WSN) is a growing sector in the network domain. By implementing it many industries developed smart task for different purposes. Sensor nodes interact with each other and this interaction technique are handled by different routing protocol. Extending the life of the network in WSN is a challenging issue because energy in sensor nodes are quickly drained. So the overall performance of WSN are degraded by this limitation. To resolve this unreliable low power link, many researches have provided various routing protocols to make the network as dependable and sustainable as possible. While speeding up the data delivery is also considered to be an effective approach to save energy. To achieve this objective, we propose a new energy efficient routing protocol using genetic fuzzy logic system. Our primary objective is to save energy by sending data packets via the shortest path. Numerous studies have proved that the clustering protocol plays an important role in prolonging the life of the sensor node in the WSN. Keeping up with this our second objective is selection of head node from a cluster. This cluster head is selected based on the availability of maximum residual energy among the nodes, lifetime of head-to-head link, and its minimum distance to the base station. The genetic fitness approach is proposed for optimal routing and the selection of cluster head (CH) is employed with fuzzy logic system. As a result, the genetic fuzzy logic system (GFLS) can effectively accelerate the process to solve this problem. MATLAB is used to deploy nodes in WSN. The performance is calculated in terms of efficiency, delay, packet delivery rate and network throughput. The performance is compared with previous pertinent work. The proposed approach has elevated its performance around 8% in packet delivery and 6% in overall network throughput.
Highlights
In this decade, wireless sensor network (WSN) is an emerging field in industry and research due to advancement in wireless technology
In this paper we propose energy efficient routing protocol using genetic fuzzy logic system which will select optimal routing path based on energy efficiency of sensor node
This research work proposes an optimal energy efficient routing protocol based on genetic fuzzy logic system
Summary
Wireless sensor network (WSN) is an emerging field in industry and research due to advancement in wireless technology. CMC, 2022, vol., no.2 which is used for special tasks for building many applications These special purpose sensor node interacts with each other in a network which will sense, generate, process and transmit data to the sink node for further process. The most likely cluster-based routing protocol is upgraded for best end to end transmission [5,6] Using this method, we can assign a node with lower energy to perform sensing process whereas the higher energy node will transmit data to sink node. In this paper we propose energy efficient routing protocol using genetic fuzzy logic system which will select optimal routing path based on energy efficiency of sensor node.
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