Ant Colony Transmission Method Parallel Deployment for Wireless Sensor Network Optimization in a Multiobjective Routing Protocol

Author:

Chandra B Ravi1,Roy Ajay2,Chakraborty Somenath3,Kumar Krishan2

Affiliation:

1. Pullaiah College of Engineering and Technology

2. Lovely Professional University

3. West Virginia University Institute of Technology

Abstract

AbstractThe commonly used wireless sensor networks need more efficient routing to preserve the harmony of the performance characteristics and to defend against security assaults. These networks are equipped with sensing, processing, and communication capabilities. Although the used cryptographic techniques were efficient, they required more energy for authentication, encryption, and decryption. As a result, the paper proposes routing that addresses security issues while minimizing energy use, delay, and Prefetching-aware Data Replication (PDR) failures and maximizing network longevity. This multiobjective networking issue for networks of sensors is resolved utilising ant colony networking methods while keeping energy consumption in view and extending the life of sensor networks by taking into account the nodes' remaining power, their distance from one another, and their private data. The suggested routing strategy outperforms existing methods in terms of energy usage, PDR, the longevity of networks of sensors, and the rate of safety improvement, according to a subsequent performance study carried out utilizing the network simulator 2.

Publisher

Research Square Platform LLC

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3. Dorigo M, Stützle T (2019) Ant colony optimization: overview and recent advances. Handbook of Metaheuristics. Springer, Cham, pp 311–351

4. Mirjalili S (2019) Ant colony optimization. Evolutionary Algorithms and Neural Networks. Springer, Cham, pp 33–42

5. Mirjalili S, Dong JS, Lewis A (2020) Ant colony optimizer: theory, literature review, and application in AUV path planning. Nature-Inspired Optimizers. Springer, Cham, pp 7–21

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