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A Study of Biology-Based Congestion Control Algorithms for Wireless Sensor Network

  • S. PanimalarEmail author
  • T. Prem JacobEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)

Abstract

Network Traffic is one of the major issues in wireless Sensor Networks (WSNs). WSN is a self-constructed and organization less wireless networks which is used to observe and check the physical or environmental conditions and to cooperatively pass their data through the network to a sink where the data can be appropriately observed and examined. Number of research works in wireless sensor networks (WSNs) is primarily focused on improving the network performance along with enhancing the quality of service parameters such as the data arrival rate, available bandwidth, congestion, transmission rate, queue length and energy. Various natural computational algorithms have been proposed for overcoming these issues. In this paper we have discussed about some of the bio-based algorithms such as Genetic Algorithms, Simulated Annealing, Ant Colony Optimization, Particle Swarm Optimization, Firefly Algorithm, etc. to control congestion in wireless sensor networks.

Keywords

Wireless sensor networks (WSNs) Congestion control Quality of service (QoS) Bio-inspired algorithms 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of ComputingSathyabama Institute of Science and TechnologyChennaiIndia

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