Self-stabilising target counting in wireless sensor networks using Euler integration
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.
Citation
Pianini , D , Dobson , S A & Viroli , M 2017 , Self-stabilising target counting in wireless sensor networks using Euler integration . in 2017 IEEE 11th International Conference on Self-Adaptive and Self-Organizing Systems (SASO) . , 8063636 , IEEE Computer Society , pp. 11-20 , 11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2017) , Tucson , United States , 18/09/17 . DOI: 10.1109/SASO.2017.10 conference
Publication
2017 IEEE 11th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Type
Conference item
Rights
© IEEE, 2017. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/SASO.2017.10
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.