Research on peer-to-peer network search algorithm based on improved ant colony optimization

How to reduce the number of messages or improve searching efficiency has been a key problem which restricts the expanding of decentralized and unstructured P2P (peer-to-peer) networks. Based on traditional ant colony optimization (ACO) principle, this paper proposes a new algorithm for unstructured P2P networks by using the pheromone which can reflect the distribution of different types of files. The algorithm can reduce the produced message packets and reach better searching efficiency than the traditional Ant methods do in P2P network.