NDLI: Tight Bounds on Localized Sensor Self-Deployment for Focused Coverage

Content Provider	IEEE Xplore Digital Library
Author	Sharma, G. Krishnan, H.
Copyright Year	2015
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA (Sharma, G.; Krishnan, H.)
Abstract	We consider the self-deployment problem in mobile sensor networks with the objective of providing focused coverage for a point of interest (POI) such that the maximum area around it is covered by sensors without sensing holes. We present a local greedy algorithm, called TTGREEDY, that solves this problem in at most R + 2.(n-1) time steps, where R is the distance to the farthest initial sensor position from the POI and n is the number of sensors. This is a significant improvement over the best previously known O(D) time step algorithm of Blazovics and Lukovszki, where D is the sum of the initial distances to the sensors from the POI. The main idea is to synchronously drive mobile sensors along a locally-computed triangle tessellation avoiding collisions of sensors. We also show that there are initial configurations of n sensors in this problem where at least R + (n-1)/2 time steps are needed by any greedy algorithm. These results provide the first tight runtime (within a small constant factor) solution to this problem.
Starting Page	1
Ending Page	7
File Size	188970
Page Count	7
File Format	PDF
e-ISBN	9781479999644
DOI	10.1109/ICCCN.2015.7288475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Greedy algorithms Runtime Robot sensing systems Robot kinematics Collision avoidance
Content Type	Text

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