An Emotion-driven Negotiation Mechanism of Selfish Nodes in the MANETs

As mobile ad hoc networks have become increasingly intricate and intelligent, selfish mobile nodes with different global goals need to be stimulated to cooperation and share resources. Emotion has a crucial impact on an agent's cognition and behaviors, enhances its flexibility to adapt to the resources-restricted and unpredictable conditions.This paper represents an Emotion-driven Negotiation of Selfish Nodes in the MANETs (ENSNM), in which the emotion models such as achievement motivation, Weber-Fechner law that execute throughout negotiation as inherent attributes of mobile nodes. Achievement motivation determines whether a node sponsors or participates in a negotiation as well as the principle of setting initial price in the preliminary stage. Moreover, the deadline of a negotiator is dynamically modified by the Weber-Fechner law throughout the negotiation. Simulation results demonstrate the model can improve negotiation efficiency, reduce network traffic and energy consumption.