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Authors: Masoud Vatanpour Azghandi ; Ioanis Nikolaidis and Eleni Stroulia

Affiliation: University of Alberta, Canada

Keyword(s): Wireless Sensor Networks, Indoor Localization, Optimization, Sensor Placement, Smart Homes, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Enterprise Information Systems ; Internet of Things ; Sensor Networks ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications

Abstract: Single occupant localization in an indoor environment can be accomplished by the deployment of, properly placed, motion sensors. In this paper, we address the problem of cost-efficient sensor placement for highquality indoor localization, taking into account sensors with diverse coverage footprints, and the occlusion effects due to obstructions typically found in indoor environments. The objective is the placement of the smallest number of sensors with the right combination of footprints. To address the problem, and motivated by the vast search space of possible placement and footprint combinations, we adopt an evolutionary technique. We demonstrate that our technique performs faster and/or produces more accurate results (depending on the application) when compared to previously proposed greedy methods. Furthermore, our technique is flexible in that adding new sensor footprints can be trivially accomplished.

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Paper citation in several formats:
Vatanpour Azghandi, M.; Nikolaidis, I. and Stroulia, E. (2015). Indoor Sensor Placement for Diverse Sensor-coverage Footprints. In Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS, ISBN 978-989-758-086-4; ISSN 2184-4380, pages 25-35. DOI: 10.5220/0005273700250035

@conference{sensornets15,
author={Masoud {Vatanpour Azghandi}. and Ioanis Nikolaidis. and Eleni Stroulia.},
title={Indoor Sensor Placement for Diverse Sensor-coverage Footprints},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS,},
year={2015},
pages={25-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005273700250035},
isbn={978-989-758-086-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS,
TI - Indoor Sensor Placement for Diverse Sensor-coverage Footprints
SN - 978-989-758-086-4
IS - 2184-4380
AU - Vatanpour Azghandi, M.
AU - Nikolaidis, I.
AU - Stroulia, E.
PY - 2015
SP - 25
EP - 35
DO - 10.5220/0005273700250035