Name
Abstract | ||
|---|---|---|
Wireless sensor networks are increasingly used for tracking and monitoring dynamic phenomena in urban and natural areas. Spatial coverage is an important issue in sensor networks in order to fulfill the needs of sensing applications. Optimization methods are widely used to efficiently distribute sensor nodes in the network to achieve a desired level of coverage. Most of the existing algorithms do not consider the characteristics of the real environment in the optimization process. In this paper, we propose the integration of contextual information in optimization algorithms to improve sensor network coverage. First, we investigate the implication of contextual information in sensor networks. Then, a conceptual framework for local context-aware sensor network deployment optimization method is introduced and related algorithms are presented in detail. Finally, several experiments are carried out to evaluate the validity of the proposed method. The results obtained from these experiments show the effectiveness of our approach in different contextual situations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/jsan4030160 | JOURNAL OF SENSOR AND ACTUATOR NETWORKS |
Keywords | Field | DocType |
sensor network deployment,coverage problem,local optimization,context-aware,Voronoi diagram | Key distribution in wireless sensor networks,Contextual information,Computer science,Sensor network deployment,Real-time computing,Voronoi diagram,Mobile wireless sensor network,Local search (optimization),Wireless sensor network,Conceptual framework | Journal |
Volume | Issue | ISSN |
4 | 3 | 2224-2708 |
Citations | PageRank | References |
2 | 0.39 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meysam Argany | 1 | 42 | 2.78 |
| Mir Abolfazl Mostafavi | 2 | 144 | 16.75 |
| Christian Gagné | 3 | 627 | 52.38 |