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Gandomi, A., Yang, X., Hossein, A. and Talatahari, A. (2013) Bat Algorithm for Constrained Optimization Tasks. Neural Computing and Applications, 22, 1239-1255.
https://doi.org/10.1007/s00521-012-1028-9

has been cited by the following article:

• TITLE: Improved Bat Algorithm Based Energy Efficient Congestion Control Scheme for Wireless Sensor Networks

  AUTHORS: Mukhdeep Singh Manshahia, Mayank Dave, Satya Bir Singh

  KEYWORDS: Improved Bat Algorithm, Congestion Control, Wireless Sensor Networks

  JOURNAL NAME: Wireless Sensor Network, Vol.8 No.11, November 30, 2016

  ABSTRACT: Energy conservation and congestion control are widely researched topics in Wireless Sensor Networks in recent years. The main objective is to develop a model to find the optimized path on the basis of distance between source and destination and the residual energy of the node. This paper shows an implementation of nature inspired improved Bat Algorithm to control congestion in Wireless Sensor Networks at transport layer. The Algorithm has been applied on the fitness function to obtain an optimum solution. Simulation results have shown improvement in parameters like network lifetime and throughput as compared with CODA (Congestion Detection and Avoidance), PSO (Particle Swarm Optimization) algorithm and ACO (Ant Colony Optimization).