학술논문

Computing best coverage path with reliability in wireless sensor networks
Document Type
Conference
Source
2016 Symposium on Colossal Data Analysis and Networking (CDAN) Colossal Data Analysis and Networking (CDAN), Symposium on. :1-5 Mar, 2016
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Sensors
Algorithm design and analysis
Reliability
Measurement
Data analysis
Computational geometry
Wireless sensor networks
wireless sensor network
coverage
computational geometry
path
obstacles
Language
Abstract
Under the domain of barrier coverage, Best Coverage Path can be calculated using computational geometric algorithms. The sensing field may have randomly distributed sensors that can provide a cover to a single point by multiple numbers of sensors resulting into a k-coverage scenario where k is the constant number of sensors available to cover any single point on the field. In real environment we have obstacles that hinders path and obstruct line of sight. Obstacles can be simulated as geometrical shapes say line segment causing absolute opaqueness to the line of sight and blockage of path. In this paper we have proposed an approach of computing a k-covered Best coverage path between a pair of location on a two dimensional field in presence of line segment obstacles. An algorithm is proposed to find a path covered by a constant number of sensors in polynomial time. Then a java application based on proposed algorithm has been designed and some observations are being made.