SOA-EACR: Seagull optimization algorithm based energy aware cluster routing protocol for wireless sensor networks in the livestock industry

• Published in: Sustainable computing informatics and systems Vol. 33; p. 100645
• Main Authors: S., Sankar, Somula, Ramasubbareddy, Parvathala, Balakesavareddy, Kolli, Srinivas, Pulipati, Srilatha, T., Aditya Sai Srinivas
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.01.2022
• Subjects: Cluster head; Clustering protocol; Seagull optimization algorithm; Wireless sensor networks; Seagull optimization algorithm; Clustering protocol; Wireless sensor networks; Cluster head
• ISSN: 2210-5379
• DOI: 10.1016/j.suscom.2021.100645

•An in-depth analysis made in the optimization algorithms for choosing the optimal CH in the network. The performance of the proposed SOA-ECAR is assessed the performance metrics, namely packet transmission ratio, latency and network lifespan.•It has two processes, namely CH selection and cluster formation. The CH is selected using Seagull Optimization Algorithm. The cluster is formed using Nearest Neighbor Node. Finally, the farm animal’s sensors send the readings to the CH and it aggregates and forwards to the sink.•The CH is successfully chosen based on the fitness function, which is determined by combining RER and distance.•The simulation is conducted using MATLAB 2019a. The proposed SOA-ECAR improves the network lifetime by 20% and increases the packet delivery ratio by 2 %. The primary goal of Wireless Sensor Networks (WSNs) in the livestock industry is to monitor the health conditions of various animals and their activities. Energy conservation in WSN is one of the most challenging tasks since the devices are connected to limited resource devices. So, clustering is the best choice to save energy in WSN. The sensor nodes are connected to the animal and move from one location to another because of the dynamic nature. In recent years, several clustering protocols have been proposed using an optimization algorithm to conserve energy in the network. However, it takes more time to converge in selecting the best cluster head in the network. The energy is therefore drained early in the network. To overcome the limitation, this paper proposes a Seagull Optimization Algorithm based Energy Aware Cluster Routing Protocol (SOA-EACR) in WSN to prolong the network's lifespan and reduce the end to end delay. The SOA-EACR balances the exploration and exploitation during the CH selection. Thus, it prolongs the lifespan of the network. The simulation is performed using MATLAB 2019a. The efficacy of SOA-EACR is compared with CLPSO, CACONET and GWO. The proposed SOA-EACR enhances the network life by 20 % and increases the packet delivery ratio by 2–5 %.