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Maximizing Coverage in a Connected and K-Covered Wireless Sensor Network Using Genetic Algorithms
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kalayci, Tahir Emre Yildirim, Kasim Sinan Ugur, Aybars |
| Copyright Year | 2008 |
| Abstract | We are interested in an initial deployment strategy that maximizes the coverage area of wireless sensor network while preserving connectivity between nodes provided that all given hotspot regions are covered by at least k sensors. Sensing coverage of a sensor network characterizes how well an area is monitored or tracked by sensors. Connectivity is an important requirement that shows how nodes in a sensor network can effectively communicate. Some hotspot areas in the network are more important than other areas and need to be covered by more sensors. We propose a genetic algorithm based solution to find an optimal sensor node distribution. Experimental results are presented to evaluate our algorithm. Keywords—Wireless Sensor Networks, Genetic Algorithm, Coverage, Connectivity, k-Coverage,Optimization |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.universitypress.org.uk/journals/ami/ami-18.pdf |
| Alternate Webpage(s) | http://www.wseas.us/journals/ami/ami-18.pdf |
| Alternate Webpage(s) | https://www.researchgate.net/profile/T_KALAYCI/publication/222093674_Maximizing_Coverage_in_a_Connected_and_K-Covered_Wireless_Sensor_Network_Using_Genetic_Algorithms/links/0912f505832c351920000000.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
