A Hybrid Bird Swarm-Differential Search Methods, Based On Wsn For Trusted Cluster-Based Energy And Lifetime Aware Routing

Document Type : Primary Research paper

Authors

1 Professor, Department of Computer Science and Engineering, Dr.Samuel George Institute of Engineering & Technology, Markapur, Prakasam Dt, Andhra Pradesh, 523316.

2 Assistant Professor (Selection Grade), Department of Computer Science and Engineering, Dr.Mahalingam College of Engineering and Technology,Pollachi-642003.

3 Associate Professor, Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, Arasur, Tamil Nadu 641407.

4 Assistant Professor, Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Vadlamudi, Guntur-522213,Andhra Pradesh.

5 Assistant Professor,Department of Information Technology,Shri Ramdeobaba College of Engineering and Management,Gittikhadan,Katol Road,Nagpur, Maharashtra, India-440014.

6 Associate Professor, Department of Electronics and Communication Engineering, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India – 638057.

Abstract

Wireless sensor networks are the most frequent and necessary technology for transmitting, retrieving, managing, and tracking data. Routing protocols are an important aspect of WSNs. The routing protocol determines the most efficient path for data to flow from source to destination. Depending on the network, channel factors can cause different issues while choosing a route. Data flow, excessive energy consumption, storage space, latency, non-acceptance of traditional IP protocols, and node implementation are all examples of routing issues. To tackle these challenges during the routing protocol process, we propose a trustworthy cluster-based energy and lifetime conscious routing (TCELR) protocol for WSN that uses a hybrid bird swarm-differential search algorithm. Second, we include a cluster formation chaotic bird swarm optimization (CBSO) technique in the TCELR protocol. Second, the enhanced differential search (IDS) algorithm is used to determine each client's level of confidence in the cluster.The cluster head (CH) is known to be the highest confidence node in the cluster and performs intra-cluster routing as the sink node of cluster members; third, a scatter search based decision making (SSDM) technique is utilised to forward sensed data between multiple clusters for inter-cluster routing.The proposed TCELR protocol's efficiency is evaluated in terms of throughput, packet error rate, end-to-end delay, network lifetime, packet transmission ratio, and jitter, and the findings are compared to current state-of-the-art routing protocols.

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