NDLI: Joint sensor duty cycle scheduling with coverage guarantee

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Joint sensor duty cycle scheduling with coverage guarantee

Content Provider	ACM Digital Library
Author	Schiller, Brent Lin, Shan Liu, Kin Sum Gao, Jie Huang, Hua
Abstract	Using optical sensors for indoor monitoring has been widely adopted in many smart building applications. An important design problem in this space is to explore the tradeoff between energy consumption and coverage quality. While it is important that the sensors achieve full coverage (i.e., every interesting target point can be monitored by at least one sensors), it is often a waste of energy to keep sensors on all the time as events are typically stochastic and rare and most of the time the sensors are on idle monitoring. In this paper we design efficient sensor duty cycles to ensure that any target point of interest is still covered sufficiently frequently while only a subset of sensors are kept on at any time slot. We denote by the maximum dark length for each target point p as the maximum duration in which p is covered at least once. We formulate two optimization problems: the min max dark length scheduling and the min average dark length scheduling. For both versions we provide efficient, practical algorithms with provable approximation guarantee. The two algorithms have been tested on two real testbed scenarios to evaluate its efficiency and coverage quality.
Starting Page	11
Ending Page	20
Page Count	10
File Format	PDF
ISBN	9781450341844
DOI	10.1145/2942358.2942379
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-07-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Duty cycle scheduling Energy efficiency Sensor coverage
Content Type	Text
Resource Type	Article

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