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Maximizing Lifetime of Wireless Sensor Network by Sink Mobility in a Fixed Trajectory

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Next-Generation Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 638))

Abstract

Maximization of lifetime of wireless sensor network (WSN) is an emerging area of research in present scenario. Many authors are performing their research work, so that they could achieve lower energy consumption for the sensor network which leads to increase in lifetime of network. Our work focuses on sink mobility in a fixed trajectory within a wireless sensor network while sensed data are required to be collected. We divide the whole sensor network into two different regions as direct communication area (DCA) and multi-hop communication area (MCA). Sensors node that lies in DCA is at one hop count distance from the sink node trajectory while sensors within MCA are at more than one hop count from the trajectory. We considered all the sensors that are within DCA as subsink nodes. During sink mobility, whenever a subsink is closer to the mobile sink node, then it starts transmitting its data to the sink node. But those sensors that are within MCA needs to search an appropriate sink node for sending its sensed data to the subsink so that on further stage, that subsink could provide those data to the sink node whenever it is in nearest proximity of that subsink. Basically, a sink node is the ultimate destination for the data while a subsink node acts as a relay node for the nodes that are within MCA. So our work is to find out the appropriate subsink node from a given set of subsinks. For doing so, we used location-aided routing on global positioning system (GPS)-enabled sensors and sink node. Our work is validated through simulation experiments using NS-2.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India

    Jay Prakash, Rakesh Kumar & Rakesh Kumar Gautam

  2. Department of Electronics & Communication Engineering, Bundelkhand Institute of Engineering & Technology, Jhansi, Uttar Pradesh, India

    J.P. Saini

Authors
  1. Jay Prakash
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  2. Rakesh Kumar
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  3. Rakesh Kumar Gautam
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  4. J.P. Saini
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Corresponding author

Correspondence to J.P. Saini .

Editor information

Editors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India

    Daya K. Lobiyal

  2. Centre for IT, University of Jammu, Jammu, India

    Vibhakar Mansotra

  3. Institute of Technology and Science, Ghaziabad, Uttar Pradesh, India

    Umang Singh

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Prakash, J., Kumar, R., Gautam, R.K., Saini, J. (2018). Maximizing Lifetime of Wireless Sensor Network by Sink Mobility in a Fixed Trajectory. In: Lobiyal, D., Mansotra, V., Singh, U. (eds) Next-Generation Networks. Advances in Intelligent Systems and Computing, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-10-6005-2_53

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  • DOI: https://doi.org/10.1007/978-981-10-6005-2_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6004-5

  • Online ISBN: 978-981-10-6005-2

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