Distributed resource management scheme using enhanced artificial bee-colony in P2P

Distributed resource management scheme using enhanced artificial bee-colony in P2P Peer-to-Peer Network consisting of nodes with limited power that are deployed to gather useful information from the field. In P2P it is critical to collect the information in an efficient manner, sometimes Single point failure can be occurred, and also congestion can be occurred in the network. In order to avoid those problems we proposed a new technique called Bio-Inspired mechanism for caching. We infer some knowledge of Artificial Bee Colony (ABC), is one of the Bio-inspired mechanisms and it is more reliable. It provides energy-aware, data gathering routing structure in wireless sensor network. It can avoid congestion in network and high consumption of energy from individual node. We Enhance the ABC algorithm as EABC for reducing single point failure and over caching problem in P2P network and also it reduces the energy consumption. The main goal is to maintain the maximum lifetime of network, during data transmission in the efficient manner. Based on EABC algorithm we can improve the effective fault tolerance and achieve the better performance.