Probability-based adaptive message transmission algorithm for opportunistic networks

摘要: Opportunistic networks is a special kind of mobile ad hoc in which communication opportunities are brought by node mobility spontaneously and temporally. Aiming at improving the current multi-copy routing algorithms opportunistic networks, this paper firstly analyzes weakness traditional algorithms, such as high delivery delay, poor adaptivity to different network environments. And then Probability-based Adaptive Message Transmission Algorithm for Networks (PAMTA) was proposed solve these problems. According level connectivity network, PAMTA introduces meeting probability between nodes. In order enable algorithm adapt environments, can adjust number message copies forwarding threshold adaptively. Simulation results show that achieve satisfying rate reduces times about 21.3% compared with Spray Focus algorithm.