Name
Title | ||
|---|---|---|
Addressing coverage problem in wireless sensor networks based on evolutionary algorithms. |
Abstract | ||
|---|---|---|
Wireless Sensor Networks (WSNs) are the key part of Internet of Things, as they provide the physical interface between on field information and backbone analytic engines. An important role of WSNs-when collecting vital information-is to provide a consistent and reliable coverage. To Achieve this, WSNs must implement a highly reliable and efficient coverage recovery algorithm. In this paper, we take a fresh new approach to coverage recovery based on evolutionary algorithms. We propose EMACB-SA, which introduces a new evolutionary algorithm that selects coverage sets using a fitness function that balances energy efficiency and redundancy. The proposed algorithm improves network's coverage and lifetime in areas with heterogeneous event rate in comparison to previous works and hence, it is suitable for using in disaster management. |
Year | Venue | Keywords |
|---|---|---|
2017 | Asia-Pacific Conference on Communications | Wireless sensor networks,internet of things,coverage recovery,evolutionary algorithms,disaster management |
Field | DocType | ISSN |
Evolutionary algorithm,Scheduling (computing),Efficient energy use,Computer science,Emergency management,Evolutionary computation,Computer network,Fitness function,Redundancy (engineering),Wireless sensor network | Conference | 2163-0771 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sahar Chehrazad | 1 | 0 | 0.34 |
| Hadi S. Aghdasi | 2 | 43 | 9.14 |
| Negin Shariati | 3 | 6 | 2.66 |
| Mehran Abolhasan | 4 | 451 | 48.95 |