An optimal load balancing strategy for P2P network using chicken swarm optimization

Peer-to-Peer (P2P) networks are less expensive, simple to use, and do not require the traditional client–server model. It has particular advantages in data sharing and resource utilization, so it is recommended to use it for various applications. P2P networks have been used in many applications, especially in data sharing and resource utilization. Load balancing and security is an essential task to improve the performance of P2P networks. Hence, in this paper, probability-based load balancing control and security enhancement is developed in P2P networks. The probability of peer can be computed with chicken swarm optimization (CSO), which selects the best peer in P2P networks to achieve load balancing and resource utilization. The proposed method is developed to attain two main objective functions: load balancing control and security enhancement. A probability-based CSO algorithm is used to control load balancing. The security is achieved with Enhanced Rumour Riding protocol (ERR) and SXOR (Split XOR) operation. The proposed method is implemented in the NS2 platform, and the performance of the proposed method is analysed with performance metrics such as delay, delivery ratio, packet loss, encryption time, decryption time, and throughput. The proposed method is compared with existing methods such as Biased Contribution Index based Rumour Riding protocol (BCIRR), Ant Colony Optimization (ACO), and Catching Algorithms (CA). The proposed technique achieves a 98.75% packet delivery ratio, with a minimum 3.8 s delay. Ultimately the performance suggests that the proposed system can perform better for load balancing and security in the P2P network.