Deployment Strategies for Wireless Sensor Networks Using Math Modeling Techniques

Wi-Fi sensor networks comprise small, low-value, low-energy sensors configured to interface with the physical surroundings. Due to their constrained power, wireless sensor networks should be deployed and operated in a distributed way. It affords an undertaking for many obligations, which include topology manipulation, energy-green routing, and coverage tracking. This paper proposes numerous deployment strategies for wireless sensor networks using mathematical modeling strategies. Mainly, the proposed techniques use convex optimization and integer programming to research the trade-offs between network insurance, power intake, interference, and topology. Simulation effects display the effectiveness of the proposed techniques in enhancing network overall performance. The paper also discusses extending those strategies to metaheuristics further to improve the scalability and applicability of the proposed method.