Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming

Abstract

In the modern era, the use of transparent Heterogeneous Ad-Hoc NETwork (HANET) has increased due to the numerous two-tier applications. It provides cross platform services. In this network, the concept of energy efficient routing is a vital issue due to the limited energy capacity of batteries. In response to this, the proposed work introduces an adaptive and intelligent energy efficient routing technique based on the fusion of game theory and linear programming methods. The combination of these two help to analyze multi-person decision making in the network, where each decision maker tries to maximize its own utility. The proposed model is simulated using the LINGO optimization software. The performance of the proposed model is validated with the existing approaches in several passes to justify its effectiveness in term of performance metrics.