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An Artificial Intelligence Model for Effective Routing in WSN
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Author(s): Swaminathan Kalyanaraman (University College of Engineering, Pattukkottai, India)
Copyright: 2023
Pages: 22
Source title:
Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications
Source Author(s)/Editor(s): Ponnusamy Sivaram (G.H. Raisoni College of Engineering, Nagpur, India), S. Senthilkumar (University College of Engineering, BIT Campus, Anna University, Tiruchirappalli, India), Lipika Gupta (Department of Electronics and Communication Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, India)and Nelligere S. Lokesh (Department of CSE-AIML, AMC Engineering College, Bengaluru, India)
DOI: 10.4018/978-1-6684-8306-0.ch005
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Abstract
In WSN, sensor nodes will be distributed heterogeneity concerning their basic requirements such as location, power backup, and the distance between the nodes. With these metrics, research is carried on energy conservation, media-based problems, packet aggregation, effective routing, quality of link, etc. But the energy consumption and data processing system in WSN makes a scenario for not using an artificial intelligence (AI)-based system in network structure. In this chapter, a heuristic packet routing (HPR) strategy for effective path identification on the packet transmission between the nodes is given. The proposed methodology also improvises the routing process on diffusion and energy management methodology defined in previous research work. A comprehensive study was done with the help of a network simulator. Based on the result, the work is compared with various research work defined previously.
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