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

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Abstract

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.

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Abbreviations

P:

Peer

nr :

Best fitness

nc :

Worst fitness

f :

Fitness value

X :

Position

k :

Rooster index

\(\varepsilon\) :

Small constant value

R2 and R1 :

Index value of chicken and hens groupmate

Random :

Random number over [0, 1]

\({X}_{s,b}^{T}\) :

Position of chick’s mother

fl :

Random value between 0 and 2

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Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dr. A.P. J Abdul Kalam Technical University, Jankipuram, Lucknow, Uttar Pradesh, 226031, India

    Dharmendra Kumar

  2. Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology, Teliarganj, Prayagraj, Uttar Pradesh, 211004, India

    Mayank Pandey

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The corresponding author claims the major contribution of the paper including formulation, analysis and editing. The Second author guides to verify the analysis result and manuscript editing.

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Correspondence to Dharmendra Kumar.

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Kumar, D., Pandey, M. An optimal load balancing strategy for P2P network using chicken swarm optimization. Peer-to-Peer Netw. Appl. 15, 666–688 (2022). https://doi.org/10.1007/s12083-021-01259-3

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