Maximizing Quality Data-collection in Mobile-sink Based Energy-harvesting Sensor Networks
Naween Kumar1, Dinesh Dash2

1Naween Kumar, Dept. of Computer Science & Engineering, National Institute of Technology Patna, Patna, India.

2Dinesh Dash, Dept. of Computer Science & Engineering, National Institute of Technology Patna, Patna, India.

Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 70-75 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: I11110789S419/19©BEIESP | DOI: 10.35940/ijitee.I1111.0789S419

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Abstract: In energy-harvesting wireless sensor network (EH-WSNs), sensor nodes (SNs) are rechargeable. But, the harvesting techniques used for recharging SNs’ are dynamic and may not provide evenly harvested energy to all sensors. Thus, maximizing quality data-collection (MQDC) is an interesting issue under energy harvesting constraints. In this article, we focus on this issue to solve. We consider a mobile-sink (MS) that moves on a constrained-path for collecting SNs’ data periodically. The SNs are distributed nearby the constrained-path. This scenario may exist in various real-world applications, such as traffic monitoring, environment monitoring and health monitoring of large buildings or bridges, etc. We transform the MQDC problem into a network-utility maximization problem. We then prove that the converted problem is an NP-hard. Thereafter, we develop a heuristic algorithm, referred to as Maximizing Quality Data-collection using Constrained-path Mobile-Sink (MQDCPMS), to solve it. We address the effect of change in the speed of MS on the quality data-collection. Finally, through extensive simulations, we find that the MQDCPMS algorithm maximizes the quality data-collection comparatively better than other baseline algorithms.

Keywords: EH-WSNs, Quality data-collection, Mobile-sink, Utility maximization, Heuristic algorithm.
Scope of the Article: Distributed Sensor Networks