A distributed trust and reputation model for capacity enhancement in wireless networks

摘要: In order to enhance resource allocation in wireless local area networks, it is important properly distribute the load from overloaded access points (APs) over their neighbors. Nevertheless, malicious APs may strategically alter behavior for concealing and prompting reputation. Therefore, evaluate APs' trustworthiness. this paper, we propose a trusted model based on an autonomic management algorithm (ALMA) that ensure accommodation of more user traffic overall network capacity improvement, by evaluating detecting APs. Initially each assigned trust level. Using these levels as guide, source AP can then select neighbor meets security requirements. Simulations, using VoIP traffic, show that, performance gain term call blocking rate improved trust-based approach.