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Energy Efficient Sink Placements with Mobile Data Aggregation in Wireless Sensor Network


Affiliations
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Jagtail, India
2 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, India
     

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The modelling of wireless sensor networks has always given priority to energy efficiency. The implementation of mobile agent technology in integrated signal and wireless sensor networks has created an effective platform for data storage and aggregation. The distributed paradigm based on mobile agents provides many advantages over the current, widely used device paradigm for clients / data centres in wireless sensor networks. The agent-based paradigms are one of the major problems with mobile agent-based paradigms. Many sinks mitigate the problem by distributing traffic across several discharges, and reducing energy consumption at nodes and extending network service life. This paper presents an Energy-efficient multiple sink positioning algorithm to maximize average network life and limit average sensor network energy consumption. Several sinks are used here for data communication. Result of the proposed algorithm maximizes an average network life and reduces the energy consumption average. The results of the simulation shows that the Protocol proposed exceeds the end-to - end delay, energy consumption and output.

Keywords

WSN, Distributed COMPUTING Paradigm, Mobile Agent, Multiple Sinks, Average Energy Consumption, Average Network Lifetime.
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  • I.F. Akyildiz, W. Su, Y. Subramaniam and E. Cayirci, “A Survey on Sensor Networks”, IEEE Communications Magazine, Vol. 40, No. 8, pp. 104-112, 2002.

  • J. Yick, B. Mukherjee and D. Ghosal, “Wireless Sensor Network Survey”, Computer Networks, Vol. 52, No. 12, pp. 2292-2330, 2008.

  • H. Qi, S. Iyengar and K. Chakrabarty, “Distributed Sensor Networks-A Review of Recent Research”, Journal of the Franklin Institute, Vol. 338, pp. 655-668, 2001.

  • F. Zhao, J. Shin and J. Reich, “Information-Driven Dynamic Sensor Collaboration”, IEEE Signal Processing Magazine, Vol. 19, No. 2, pp. 61-72, 2002.

  • Y. Xu, H. Qi and P.T. Kuruganti, “Distributed Computing Paradigm for Collaborative Processing in Sensor Networks”, Journal of Parallel and Distributed Computing, Vol. 64, No. 8, pp. 945-959, 2004.

  • M. Sivaram, V. Porkodi and A.S. Mohammed, “Improved Enhanced DBTMA with Contention-Aware Admission Control to Improve the Network Performance in Manets”, Computers, Materials and Continua, Vol. 60, No. 2, pp. 435-454, 2019.

  • H. Qi, Y. Xu and X. Wang, “Mobile-Agent-Based Collaborative Signal and Information Processing in Sensor Networks”, Proceedings of the IEEE, Vol. 91, No. 8, pp. 1172-1183, 2003.

  • M. Chen, T. Kwon, Y. Yuan and V.C.M. Leung, “Mobile Agent based Wireless Sensor Networks”, Journal of Computers, Vol. 1, No. 2, pp. 6-10, 2006.

  • M. Chen, S. Gonzalez and V.C. Leung, “Applications and Design Issues of Mobile Agents in Wireless Sensor Networks”, IEEE Wireless Communications Magazine, Vol. 14, No. 6, pp. 20-26, 2007.

  • H. Qi and F. Wang, “Optimal Itinerary Analysis for Mobile Agents in Adhoc Wireless Sensor Networks”, Proceedings of IEEE International Conference on Communications, pp. 1-6, 2001.

  • M. Chen, T. Kwon, Y. Yuan, Y. Choi and V.C. Leung, “Mobile Agent-Based Directed Diffusion in Wireless Sensor Networks”, EURASIP Journal on Advances in Signal Processing, Vol. 1, No. 3, pp. 219-227, 2007.

  • Q. Wu, N.S.V. Rao, J. Barhen, S. Sitharama Iyengar, V.K. Vaishnavi, H. Qi and K. Chakrabarty, “On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks”, IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 6, pp. 740-753, 2004.

  • M. Chen, V. Leung, S. Mao, T. Kwon and M. Li, “Energy-Efficient Itinerary Planning for Mobile Agents in Wireless Sensor Networks”, Proceedings of IEEE International Conference on Communications, pp. 1-5, 2009.

  • W.Y. Poe and J.B. Schmitt, “Minimizing the Maximum delay in Wireless Sensor Networks by Intelligent Sink Placement”, Technical Report, Distributed Computer Systems Lab, University of Kaiserslautern, No. 362-07, pp 1-20, 2007.

  • J. Flathagen, O.Kure and P.E.Engelstad, “Constrained-Based Multiple Sink Placement for Wireless Sensor Networks”, Proceedings of 8th IEEE International Conference on Mobile Ad hoc and Sensor Systems, pp. 1-7, 2011.

  • W.Y.Poe and J.B. Schmitt, “Self-Organized Sink Placement in Large Scale Wireless Sensor Networks”, Proceedings of IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 111-117, 2009.

  • W.Y.Poe and J.B. Schmitt, “Sink Placement Without Location Information in Large Scale Wireless Sensor Networks”, Proceedings of Asian Conference on Internet Engineering, pp. 1-7, 2009.

  • L. Sitanayah, K.N. Brown and C.J. Sreenan, “Multiple Sink and Relay Placement in Wireless Sensor Networks”, Proceedings of the 1st Workshop Artificial Intelligence for Telecommunications and Sensor Networks, pp. 31-39, 2012.

  • Divya Lohani and Shirshu Varma, “Energy Efficient Data Aggregation in Mobile AgentBased Wireless Sensor Network”, Wireless Personal Communications, Vol. 89, No. 4, pp. 1-23, 2016.


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  • Energy Efficient Sink Placements with Mobile Data Aggregation in Wireless Sensor Network

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Authors

S. Praveen Kumar
Department of Electronics and Communication Engineering, JNTUH College of Engineering, Jagtail, India
V. Rajanesh
Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, India

Abstract


The modelling of wireless sensor networks has always given priority to energy efficiency. The implementation of mobile agent technology in integrated signal and wireless sensor networks has created an effective platform for data storage and aggregation. The distributed paradigm based on mobile agents provides many advantages over the current, widely used device paradigm for clients / data centres in wireless sensor networks. The agent-based paradigms are one of the major problems with mobile agent-based paradigms. Many sinks mitigate the problem by distributing traffic across several discharges, and reducing energy consumption at nodes and extending network service life. This paper presents an Energy-efficient multiple sink positioning algorithm to maximize average network life and limit average sensor network energy consumption. Several sinks are used here for data communication. Result of the proposed algorithm maximizes an average network life and reduces the energy consumption average. The results of the simulation shows that the Protocol proposed exceeds the end-to - end delay, energy consumption and output.

Keywords


WSN, Distributed COMPUTING Paradigm, Mobile Agent, Multiple Sinks, Average Energy Consumption, Average Network Lifetime.

References