Social Group Optimization (SGO) for Clustering in Wireless Sensor Networks

  • Neeharika Kalla
  • Pritee Parwekar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)


Wireless Sensor Network (WSN) is a domain which has its application in the variety of fields like military, disaster management, environment monitoring. Energy consumption is one of the key challenges in the field of WSN where researchers are strongly exploring and discovering new techniques or methods. Direct or hop-by-hop transmission of data from the node to the BS leads to more number of transmissions. Clustering is applied to reduce the number of transmissions. Nodes can consume less energy if the distance between node to node or from node to BS is less. An optimization technique is used to minimize the transmission distance and to dynamically select the number of cluster heads. Social Group Optimization (SGO) is implemented, and the results are compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).


Wireless Sensor Network Social Group Optimization Clustering Sensor nodes Base station Optimization 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Anil Neerukonda Institute of Technology and SciencesVisakhapatnamIndia

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