An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks.

Sensors (Basel)

Division of Computer Science and Engineering, Kongju National University, Cheonan 31080, Korea.

Published: December 2020

AI Article Synopsis

  • In wireless sensor networks (WSNs), continuous object detection, like tracking forest fires or gas leaks, is a key application with multiple source nodes reporting to a base station and mobile workers.
  • The communication process requires a sink location service that informs the mobile worker's location, but the high number of source nodes can lead to excessive energy use.
  • To solve this, the paper introduces a two-phase sink location service: first, it creates a virtual grid to group source nodes, and then it aggregates data from these groups, resulting in improved energy efficiency compared to other methods.

Article Abstract

In wireless sensor networks (WSNs), detection and report of continuous object, such as forest fire and toxic gas leakage, is one of the major applications. In large-scale continuous object tracking in WSNs, there might be many source nodes simultaneously, detecting the continuous object. Each nodes reports its data to both a base station and mobile workers in the industry field. For communication between the source nodes and a mobile worker, sink location service is needed to continuously notify the location of the mobile worker. But, as the application has a large number of sources, it causes a waste of energy consumption. To address this issue, in this paper, we propose a two-phase sink location service scheme. In the first phase, the proposed scheme constructs a virtual grid structure for merging the source nodes. Then, the proposed scheme aggregates the merging points from an originated merging point as the second phase. Simulation results show that the proposed scheme is superior to other schemes in terms of energy consumption.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766020PMC
http://dx.doi.org/10.3390/s20247282DOI Listing

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