Abstract
One of the fundamental problems in the wireless sensor
networks is the coverage problem. The coverage problem
fundamentally address the quality of service (surveillance
or monitoring) provided in the desired area. In past, several
studies have proposed different formulation and solutions
to this problem. Nevertheless none of them has addressed
minimum cost solution to the coverage problem. In this
paper we consider minimum cost wireless sensor network
which provides full coverage to any arbitrary geometric
profile under deterministic/random deployment. We then
formulate probabilistic coverage model which provides k -
coverage probability for minimum cost wireless sensor
networks.1
networks is the coverage problem. The coverage problem
fundamentally address the quality of service (surveillance
or monitoring) provided in the desired area. In past, several
studies have proposed different formulation and solutions
to this problem. Nevertheless none of them has addressed
minimum cost solution to the coverage problem. In this
paper we consider minimum cost wireless sensor network
which provides full coverage to any arbitrary geometric
profile under deterministic/random deployment. We then
formulate probabilistic coverage model which provides k -
coverage probability for minimum cost wireless sensor
networks.1
Original language | English |
---|---|
Title of host publication | Proceedings of the 2008 ACM CoNEXT Conference |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 2 |
ISBN (Print) | 9781605582108 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 4th International Conference On Emerging Networking Experiments And Technologies - Madrid, Spain Duration: 9 Dec 2008 → 12 Dec 2008 Conference number: 4 https://dl.acm.org/citation.cfm?id=1544012 |
Conference
Conference | 4th International Conference On Emerging Networking Experiments And Technologies |
---|---|
Abbreviated title | CoNEXT 08 |
Country/Territory | Spain |
City | Madrid |
Period | 9/12/08 → 12/12/08 |
Internet address |