2014
DOI: 10.4304/jnw.9.3.726-732
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Periodic Sweep Coverage Scheme Based on Periodic Vehicle Routing Problem

Abstract: We provide a sweep coverage algorithm for routing mobile sensors that communicate with a central data sink. This algorithm improves on its predecessors by reducing the number of unnecessary scans when different points of interest (POIs) have different requirements for the time interval within which they must be scanned (sweep period). Most sweep coverage algorithms seek to minimize the number of sensors required to cover a given collection of POIs. When POIs have different sweep period requirements, existing a… Show more

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Cited by 15 publications
(4 citation statements)
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“…A final improvement consists in strengthening the big-M type constraints (29) and (38) by replacing m with the tighter bound (representing an upper bound for the time spent at node i)…”
Section: Node Event Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…A final improvement consists in strengthening the big-M type constraints (29) and (38) by replacing m with the tighter bound (representing an upper bound for the time spent at node i)…”
Section: Node Event Modelmentioning
confidence: 99%
“…Technological advances in network architectures add new features and applications to routing problems [6,26,17,31,27,29,23]. In this work, we are interested in the exact solution of a vehicle routing problem (VRP) for information collection in wireless networks.…”
Section: Introductionmentioning
confidence: 99%
“…The robots decide direction of movements during the exploration using local markers with the beacons. Recently, several works [7,9,19,26,27,29,31] on sweep coverage are proposed in WSNs. Most of the works focused on designing suitable heuristics.…”
Section: Related Workmentioning
confidence: 99%
“…Objective of the proposed heuristic is to make the patrolling time approximately same for all mobile sensors. In [26], the authors considered a problem where sweep periods of the PoIs are different. A scheme is proposed based on periodic vehicle routing problem to minimize number of unnecessary visits of a PoI by a mobile sensor.…”
Section: Related Workmentioning
confidence: 99%