Changing of the guards: Strip cover with duty cycling

Amotz Bar-Noy, Ben Baumer, Dror Rawitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


The notion of duty cycling is common in problems which seek to maximize the lifetime of a wireless sensor network. In the duty cycling model, sensors are grouped into shifts that take turns covering the region in question, and each sensor can belong to at most one shift. We consider the imposition of the duty cycling model upon the Strip Cover problem, where we are given n sensors on a one-dimensional region, and each shift can contain at most k ≤ n sensors. We call the problem of finding the optimal set of shifts so as to maximize the length of time that the entire region can be covered by a wireless sensor network, k-Duty Cycle Strip Cover (k-DutySC). In this paper, we present a polynomial-time algorithm for 2-DutySC. Furthermore, we show that this algorithm is a 35/24-approximation algorithm for k-DutySC. We also give two lower bounds: 15/11, for k ≥ 4, and 6/5, for k = 3, and provide experimental evidence suggesting that these lower bounds are tight. Finally, we propose a fault tolerance model and find thresholds on the sensor failure rate, over which our algorithm has the highest expected performance.

Original languageEnglish
Title of host publicationStructural Information and Communication Complexity - 19th International Colloquium, SIROCCO 2012, Proceedings
Number of pages12
StatePublished - 2012
Externally publishedYes
Event19th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2012 - Reykjavik, Iceland
Duration: 30 Jun 20122 Jul 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7355 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2012


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