Biologically Inspired Energy Efficient Routing Protocol in Disaster Situation

Shankar Dattaray Chavan, Amruta Sharad Thorat, Monica Shivaji Gunjal, Anup S Vibhute, Kamalakar Ravindra Desai


Wireless sensor network (WSN) plays a crucial role in many industrial, commercial, and social applications. However, increasing the number of nodes in a WSN increases network complexity, making it harder to acquire all relevant data in a timely way. By assuming the end node as a base station, we devised an Artificial Ant Routing (AAR) method that overcomes such network difficulties and finds an ideal routing that gives an easy way to reach the destination node in our situation. The goal of our research is to establish WSN parameters that are based on the biologically inspired Ant Colony Optimization (ACO) method. The proposed AAR provides the alternating path in case of congestion and high traffic requirement. In the event of node failures in a wireless network, the same algorithm enhances the efficiency of the routing path and acts as a multipath data transmission approach. We simulated network factors including Packet Delivery Ratio (PDR), Throughput, and Energy Consumption to achieve this. The major objective is to extend the network lifespan while data is being transferred by avoiding crowded areas and conserving energy by using a small number of nodes. The result shows that AAR is having improved performance parameters as compared to LEACH, LEACH-C, and FCM-DS-ACO.

Full Text:



Daanoune, Ikram, Baghdad Abdennaceur, and AbdelhakimBallouk, "A comprehensive survey on LEACH-based clustering routing protocols in Wireless Sensor Networks." Ad Hoc Networks 114 (2021): 102409.

Zachariah, UshusElizebeth, and Lakshmanan Kuppusamy, "A hybrid approach to energy efficient clustering and routing in wireless sensor networks." Evolutionary Intelligence (2021): 1-13.

Yadav, Lalita, and Ch Sunitha, "Low energy adaptive clustering hierarchy in wireless sensor network (LEACH)." International journal of computer science and information technologies 5, no. 3 (2014): 4661-4664.

Zagrouba, Rachid, and Amine Kardi, "Comparative study of energy efficient routing techniques in wireless sensor networks." Information 12, no. 1 (2021): 42.

Rathore, Pramod Singh, Mrinal Kanti Sarkar, and Rupayan Das, "A Comprehensive Review on Secure and Energy aware Multi-hop Routing in Clustering based Wireless Sensor Network”, Telecommunications and Radio Engineering 80, no. 8 (2021).

Sharmin, Afsah, F. Anwar, S. M. A. Motakabber, and Aisha-Hassan A. Hashim, "Secure ACO-Based Wireless Sensor Network Routing Algorithm for IoT." In 2021 8th International Conference on Computer and Communication Engineering (ICCCE), pp. 190-195. IEEE, 2021.

Moussa, Noureddine, Edmond Nurellari, and Abdelbaki El Belrhiti El Alaoui, "A novel energy-efficient and reliable ACO-based routing protocol for WSN-enabled forest fires detection." Journal of Ambient Intelligence and Humanized Computing (2022): 1-17.

Alappatt and Dr. Joe Prathap, “A Hybrid Approach Using Ant Colony Optimization and Binary Particle Swarm Optimization (ACO: BPSO) for Energy Efficient Multi-path Routing in MANET,” IEEE, 2020.

K. Shailesh, Suhali Chopra, K, Arshad, “Optimized routing method for wireless sensor networks based on improved ant colony algorithm,” IEEE, 2020

S. Roni, G. Abba, “Ant Algorithm Optimization for Clustering,” News Online”, IEEE Xplore. 2019.

HE Fa-me, W. Xu-ren, XIONG Meng-bo, XIONG Zi-han, “An Improved Ant Colony Algorithm for Solving Time-Dependent Road Network Path Planning Problem,” 2019 6th International Conference on Information Science and Control Engineering (ICISCE), IEEE, 2019.

Mojgan Rayenizadeh, Marjan K. Rafsanjani, Arsham B. Saeid, “Cluster Head Selection Using Hesitant Fuzzy in Wireless SensorNetworks,” In Conference: 6th Iranian Joint Congress on Fuzzy and Intelligent Systems, 2018.

Jusik Yun, SunhoSeo, and Jong-Moon Chung, IEEE, “Centralized Trust Based Secure Routing in Wireless Networks,” IEEE wireless communications letters, 2018.

Raghunandan G. H., Dr. A. Shobha Rani, Nanditha S. Y., Swathi G., “Hierarchical Agglomerative Clustering based Routing Algorithm for Overall Efficiency of Wireless Sensor Network”, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017.

G. Pradeebaa and Nandita Lavanis, “Network Lifetime Improvement Using Routing Algorithm with Sleep Mode in Wireless Sensor Network,” 2016.

Yongjun Sun, Wenxin Dong and Yahuan Chen, “An Improved Routing Algorithm Based on Ant Colony Optimization in Wireless Sensor Networks,” IEEE communications letters, 2016.

Heinzelman, Wendi Rabiner, Joanna Kulik, and Hari Balakrishnan, "Adaptive protocols for information dissemination in wireless sensor networks." In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, pp. 174-185. 1999.

Tripathi, Meenakshi, M. Singh Gaur, Vijay Laxmi, and R. B. Battula, "Energy efficient LEACH-C protocol for wireless sensor network." (2013): 402-405.

Ghosh, Saurav, Sanjoy Mondal, and Utpal Biswas, "Efficient data gathering in WSN using fuzzy C means and ant colony optimization." In 2016 International Conference on Information Science (ICIS), pp. 258-265. IEEE, 2016.


  • There are currently no refbacks.

International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences

eISSN: 2300-1933