The Improvement Research Of Ad Hoc Adaptive On-demand Weighting Algorithm

Ad Hoc network (MANET) is a no centre, self-organize and self-management, multi-hop wireless network, where the network structure changes dynamically due to the member mobility. Since it can offer a flexible and convenient communication in a situation that there are no regular infrastructures to support, this kind of technology widens the application of mobile communication, and has broad development prospects. The research of it draws attention world wide.Make a survey to the development of research of the Ad Hoc network, it is a complex network determined by its own characteristics such as: dynamic order, energy constraints and security issues. Currently, further study in sub-frame network found that Ad Hoc network is a multi-main-characteristic and self-adaptive complex systems (CAS). The mobility and communication of the node in the Ad Hoc network is self-determined, the entire network shows a characteristic of teeming. Meanwhile, studies also found that the nodes in the network have social attributes, Ad Hoc network can be modeled based on social network theory.This paper analyze the advantages and disadvantages of the existing Ad Hoc network routing algorithms, and chose a compromise ideas of (AOW) algorithms to make a thorough research from the perspective of complex adaptive systems theory (CAS), and also use the perspective of network dynamics: the network is not only determined by the topological but also the dynamics flow of information or of traffic. We import the information value as an Ad Hoc network sub-frame control parameter, and propose a demand-weighted (TAOW) algorithm based on it, then qualitative and make a compare with AOW both qualitative and quantificational.However there are not integrated sub-frame algorithms in familiar used Ad Hoc network simulation software. We use C++ languages to built a simple simulation environment for the simulation experiments, and make an analysis and evaluation to the performance of TAOW algorithms. We finally discuss the perspective of using CAS theory in Ad Hoc network and the future of Ad Hoc network developments.