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EnglishTarget counting is an established challenge for sensor networks: given a set of sensors that can count (but not identify) targets, how many targets are there? The problem is complicated because of the need to disambiguate duplicate observations of the same target by different sensors. A number of approaches have been proposed in the literature, and in this paper we take an existing technique based on Euler integration and develop a fully-distributed, self-stabilising solution. We derive our algorithm within the field calculus from the centralised presentation of the underlying integration technique, and analyse the precision of the counting through simulation of several network configurations.
| Titolo: | Self-Stabilising Target Counting in Wireless Sensor Networks Using Euler Integration |
| Autore/i: | Pianini, Danilo; Dobson, Simon; Viroli, Mirko |
| Autore/i Unibo: | |
| Anno: | 2017 |
| Titolo del libro: | Proceedings - 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2017 |
| Pagina iniziale: | 11 |
| Pagina finale: | 20 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/SASO.2017.10 |
| Abstract: | Target counting is an established challenge for sensor networks: given a set of sensors that can count (but not identify) targets, how many targets are there? The problem is complicated because of the need to disambiguate duplicate observations of the same target by different sensors. A number of approaches have been proposed in the literature, and in this paper we take an existing technique based on Euler integration and develop a fully-distributed, self-stabilising solution. We derive our algorithm within the field calculus from the centralised presentation of the underlying integration technique, and analyse the precision of the counting through simulation of several network configurations. |
| Data stato definitivo: | 2-feb-2018 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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http://hdl.handle.net/11585/619290
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