A CLUSTERED WIRELESS SENSOR NETWORK BASED AIR POLLUTION MONITORING SYSTEM WITH SWARM INTELLIGENCE BASED DATA AGGREGATION

Authors

  • Murali, S. School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India
  • Jaisankar, N. School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India

DOI:

https://doi.org/10.11113/jt.v78.5742

Keywords:

Air pollution monitoring system, Hybrid genetic algorithm, Firefly algorithm

Abstract

Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. The disproportion of the constituents in the air or atmosphere is monitored using the air pollution monitoring system. The classical air pollution monitoring system uses the costly instruments for monitoring the environment at fixed locations. Most of the traditional monitoring system is coarse- grained and costlier during the real time implementation. Some system have problems such as communication overhead, time and power consuming. The efficient clustering based data aggregation is proposed in this paper for reducing the communication overhead and efficiently monitoring the environment. The sensor nodes in the networks are grouped into clusters and the cluster head is selected using the optimization algorithm such as firefly algorithm. The data aggregation using the hybrid genetic algorithm is also proposed in this paper for efficient data transmission by reducing the communication overhead. The simulation results shows that the performance of the proposed methodology is better than the existing one and the proposed system collects the reliable source of real time fine-grain pollution data.

Author Biographies

  • Murali, S., School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India

    S.Murali received M.E. degree in Computer Science and Engineering from Arunai Engineering College, Tiruvannamalai, TamilNadu, India in 2008. He is currently an Assistant Professor (Senior) in the School of Computing Science and Engineering at VIT University, Vellore, Tamilnadu, India. He has 7 years of teaching experience. He is currently persuing Ph.D in VIT University. His research interest includes, Wireless sensor networks, cluster and data aggregation.

  • Jaisankar, N., School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India
    N. Jaisankar is a Professor in the School of Computing Science and Engineering at VIT University, Vellore, India. He received his B.E., in Computer Science and Engineering from Bharathiar University in 1992, M.E., in Computer Science and Engineering from Madurai Kamarajar University in 1999 and Ph.D., in Computer Science and Engineering from VIT University in 2010. He has 18 years of experience in teaching and research. He is also a Cisco Certified Network Associate Instructor and Sun Certified Java Instructor. He has published papers in many international and national level conferences and journals on network security and computer networks. His research interest includes computer networks, network security, and Data mining. He is a Life Member of Indian Society for Technical Education, India and Computer Society of India.

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Published

2016-06-22

Issue

Vol. 78 No. 7: July 2016

Section

Science and Engineering

License

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How to Cite

A CLUSTERED WIRELESS SENSOR NETWORK BASED AIR POLLUTION MONITORING SYSTEM WITH SWARM INTELLIGENCE BASED DATA AGGREGATION. (2016). Jurnal Teknologi, 78(7). https://doi.org/10.11113/jt.v78.5742