Performance Analysis of Energy-Efficient Cellular Networking on Urban and Rural Environments

Abstract

Each base station in both rural and urban areas produces significant amount of carbon dioxide toxins in the surrounding environment. The volume of these toxins is proportional to the energy consumption of the base stations (BSs). In this paper, a Greedy methodology is proposed to reduce the energy consumption of the BS. The energy consumption of the BS can be achieved through the greedy algorithm in the following ways. The low traffic BS can transfer their traffic to the nearby BS, which reduces the energy consumption of the low traffic BS. The high traffic BS suffers the link failure due to its overloaded traffic in BS, which increases the energy consumption. The proposed energy efficient greedy methodology reduces the energy consumption of the BS in both criteria, by measuring traffic levels on BS and switches the modes of base stations based on their traffic levels.