Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey
Joint Authors
Source
Journal of Computer Networks and Communications
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Owing to random deployment, environmental factors, dynamic topology, and external attacks, emergence of holes in wireless sensor networks is inescapable.
Hole is an area in sensor network around which sensors cease to sense or communicate due to drainage of battery or any fault, either temporary or permanent.
Holes impair sensing and communication functions of network; thus their identification is a major concern.
This paper discusses different types of holes and significance of hole detection in wireless sensor networks.
Coverage hole detection schemes have been classified into three categories based on the type of information used by algorithms, computation model, and network dynamics for better understanding.
Then, relative strengths and shortcomings of some of the existing coverage hole detection algorithms are discussed.
The paper is concluded by highlighting various future research directions.
American Psychological Association (APA)
Antil, Pearl& Malik, Amita. 2014. Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey. Journal of Computer Networks and Communications،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1040184
Modern Language Association (MLA)
Antil, Pearl& Malik, Amita. Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey. Journal of Computer Networks and Communications No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1040184
American Medical Association (AMA)
Antil, Pearl& Malik, Amita. Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey. Journal of Computer Networks and Communications. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1040184
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040184