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2010
Springer

Selective Reprogramming of Mobile Sensor Networks through Social Community Detection

10 years 11 months ago
Selective Reprogramming of Mobile Sensor Networks through Social Community Detection
Abstract. We target application domains where the behavior of animals or humans is monitored using wireless sensor network (WSN) devices. The code on these devices is updated frequently, as scientists acquire in-field data and refine their hypotheses. Wireless reprogramming is therefore fundamental to avoid the (expensive) re-collection of the devices. Moreover, the code carried by the monitored individuals often depends on their characteristics, e.g., the behavior or preferred habitat. We propose a selective reprogramming approach that simplifies and automates the process of delivering a code update to a target subset of nodes. Target selection is expressed through constraints injected in the WSN, triggering automatic dissemination of code updates whenever verified. Update dissemination relies on a novel protocol exploiting the social behavior of the monitored individuals. We evaluate our approach through simulation, using real-world animal and human traces. The results shows that...
Bence Pásztor, Luca Mottola, Cecilia Mascol
Added 11 Mar 2010
Updated 11 Mar 2010
Type Conference
Year 2010
Where EWSN
Authors Bence Pásztor, Luca Mottola, Cecilia Mascolo, Gian Pietro Picco, Stephen A. Ellwood, David W. Macdonald
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