Name
Abstract | ||
|---|---|---|
Whereas software adaptation has been identified as an effective approach for addressing context-aware applications, the existing work on WSNs fails to support context-awareness and mostly focuses on developing techniques to reprogram the whole sensor node rather than reconfiguring a particular portion of the sensor application software. Therefore, enabling adaptively in the higher layers of the network architecture such as the middleware and application layers, beside the consideration in the lower layers, becomes of high importance. In this paper we propose an approach to hide heterogeneity and offer a single common configuration and processing component for all nodes of that heterogeneous system. This advances the current state-of-the-art, by providing a lego-like model whereby a single simple but powerful component is deployed in any node regardless of its underlying differences and the system is able to remotely configure and process data in any node in a most flexible way, since every node has the same uniform API, processing and access functionalities. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/DCOSS.2011.5982221 | Distributed Computing in Sensor Systems and Workshops |
Keywords | Field | DocType |
configuration management,middleware,ubiquitous computing,wireless sensor networks,application layer,configuration,context-awareness,data processing,heterogeneous system,heterogeneous wireless sensor network,lego-like model,middleware,network architecture,sensor application software,sensor node,software adaptation,Distributed systems,Heterogeneity,Middleware,wireless sensor networks | Sensor node,Middleware,Application layer,Computer science,Computer network,Network architecture,Ubiquitous computing,Configuration management,Application software,Wireless sensor network,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4577-0511-3 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Cecílio | 1 | 77 | 17.81 |
| Pedro Furtado | 2 | 204 | 55.67 |