Placement Of Energy Aware Wireless Mesh Nodes For E-Learning In Green Campuses

TL;DR

This paper proposes an energy-efficient placement strategy for wireless mesh nodes in green campuses, utilizing renewable energy sources and optimization algorithms to minimize infrastructure while ensuring quality of service.

Contribution

It introduces a mathematical model and compares two global optimization algorithms for optimal placement of mesh nodes powered by renewable energy in green campuses.

Findings

Optimized placement reduces number of mesh routers and gateways.

Renewable energy sources effectively power the mesh network.

Optimization algorithms improve energy sustainability and connectivity.

Abstract

Energy efficiency solutions are more vital for Green Mesh Network (GMN) campuses. Today students are benefited using these e-learning methodologies. Renewable energies such as solar, wind, hydro has tremendous applications on energy efficient wireless networks for sustaining the ever growing traffic demands. One of the major issues in designing a GMN is minimizing the number of deployed mesh routers and gateways and satisfying the sustainable QOS based energy constraints. During low traffic periods the mesh routers are switched to power save or sleep mode. In this paper we have mathematically formulated a single objective function with multi constraints to optimize the energy. The objective is to place minimum number of Mesh routers and gateways in a set of candidate location. The mesh nodes are powered using the solar energy to meet the traffic demands. Two global optimisation algorithms are compared in this paper to optimize the energy sustainability, to guarantee seamless connectivity.