在移动Adhoc网络(MANETs)中,具有不同工作环境和目标的自私节点追求最大化自身利益,因此需要一种有效的激励手段促进彼此间的协作和资源共享。情感作为影响节点认知和行为决策的重要因素,能够帮助节点在资源有限、不可预知的场景中增强适应性和自治性。该文提出一种情感驱动的自私MANETs节点协商机制(Emotion—driven Negotiation of Selfish Nodes in the MANETs,ENSNM),将情感因素定义为自私MANETs节点内在的能力和属性。协商初始阶段,成就动机的强烈程度支配节点发起或参与一次协商,同时影响初始价的设定。另外,在每轮协商开始前遵循韦伯一费希纳定律对协商最后期限进行修正。仿真实验表明ENSNM机制能够提高MANETs网络的协商效率,并减少网络流量和通信能耗。
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.