Application Research About Trust In Mobile Ad Hoc Network

A mobile ad hoc network (MANET) is a self-organized multi-hop system comprised by multiple mobile wireless nodes with peer-to-peer relationships. This network aims to provide wireless network services without relying on any infrastructure. As each node acts as a wireless router, nodes route packets between neighbors to reach an intended destination. Due to self-organize and rapidly deploy capability, MANETs can be applied to different applications including battlefield communications, emergency relief scenarios, law enforcement, public meeting, virtual class room and other security-sensitive computing environments. Thus it has a very broad application prospects. Wireless ad hoc networks have attracted much interest in the research community due to their potential applications.With the security and reliability of the network, especially the mobile ad hoc networks, a new research field, trusted computing is dependent on the growing dependence. At present, in the domestic and international trusted computing research made preliminary results, but the trust agreement research and trusted software in MANET has just started. Representative is the secure routing protocol for mobile ad hoc networks. Due to the open nature of MANET network and the mobile platform, the related malicious attacks are unavoidable, such as tunneling attacks, selfish node attacks, and so on.In this paper, we have carried out research on the trust and its technology in mobile ad hoc networks.First of all, based on the theory of fuzzy recognition, a new fuzzy decision model based on feedback is proposed. The analysis and experimental results show that the proposed scheme is effective in the risk assessment of ad hoc networks.Secondly, according to the grey system theory and Markov chain theory, the trend of the time series of the trust value is fitted by the single factor system cloud grey SCGM (1,1) model. Combining the advantages of the two models, the new trust model of weighted SCGM (1,1) Ad hoc node trust and frequency prediction is discovered.In ad hoc networks, because devices are powered by batteries, and multicast applications are constantly emerging, how to construct a multicast tree of the minimum energy consumption is an important problem. For the effect of the different choices of relay nodes to the construction of the minimum energy consumption multicast tree, a discrete trust and particle swarm optimization algorithm to optimize the construction of the minimum energy consumption multicast tree was proposed. The results of simulated experiments show that the modified discrete particle swarm optimization algorithm has strong optimization ability, and can effectively optimize the construction of the minimum energy consumption multicast tree.Finally, for most task scheduling algorithms ignore the impact of trust mechanism, making their applicability in a realistic environment rather difficult, and the multi-objective resource allocation problem, the traditional algorithms execute slowly and non-dominated solutions can’t uniformly distribute in the Pareto front. Therefore, a new algorithm is proposed. The simulated annealing algorithm is introduced to GA and SA with trust to strengthen the local search and convergence speed.Experimental results show that this hybridization can significantly accelerate the convergence speed and reduce the computation time.