Name
Abstract | ||
|---|---|---|
Sensor mission assignment concerns matching the sensing resources of a wireless sensor network (WSN) to appropriate tasks (missions), which may come to the network dynamically. Although solutions for WSNs with battery-operated nodes have been proposed for this problem, no attention has been given to networks whose nodes have energy harvesting capabilities, which impose quite a different energy model. In this paper we address this problem by providing both an analytical model and a distributed heuristic, called EN-MASSE, for energy harvesting WSNs. The objective of both model and EN-MASSE is to maximize the profit of the network, fully exploiting the harvesting technologies, while ensuring the execution of the most critical missions within a given target WSN lifetime. The performance of EN-MASSE is evaluated by simulations based on real solar energy traces. Our experiments show that EN-MASSE behaves very closely to the optimum provided by our model and significantly outperforms previously proposed solutions. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SAHCN.2011.5984925 | Sensor, Mesh and Ad Hoc Communications and Networks |
Keywords | Field | DocType |
energy harvesting,sensor placement,wireless sensor networks,EN-MASSE,analytical model,battery-operated nodes,distributed heuristic,energy harvesting,sensor mission assignment,sensor-mission assignment,solar energy traces,wireless sensor network | Key distribution in wireless sensor networks,Heuristic,Computer science,Energy harvesting,Computer network,Solar energy,Energy consumption,Wireless sensor network,Distributed computing | Conference |
ISSN | ISBN | Citations |
2155-5486 | 978-1-4577-0094-1 | 14 |
PageRank | References | Authors |
0.67 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas F. La Porta | 1 | 53 | 6.24 |
| C. Petrioli | 2 | 1713 | 157.55 |
| Dora Spenza | 3 | 173 | 10.55 |