DocumentCode :
2435870
Title :
A robust wireless proximity detection technique based on RSS and ToF measurements
Author :
Macii, David ; Trenti, Fabrizio ; Pivato, Paolo
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
fYear :
2011
fDate :
10-11 Oct. 2011
Firstpage :
31
Lastpage :
36
Abstract :
Proximity sensors are increasingly used in distributed monitoring applications, e.g. for surveillance purposes. However, most of existing solutions have two different, usually contrasting requirements, i.e. either they have strong directional features, or they just cover very short distances. In order to tackle such issues, in this paper a new, almost omnidirectional proximity detection technique is described. The proposed approach is explicitly conceived for wearable wireless sensor networks (WSN) nodes and it relies on the fusion of time-of-flight (ToF) and received signal strength (RSS) values. Even though it is not accurate enough for fine-grained indoor localization, the proposed solution is robust in detecting when a given threshold is crossed by a moving object. Also, it is flexible, light from the computational point of view and easy to implement using commercial off-the-shelf (COTS) components.
Keywords :
wireless sensor networks; RSS; ToF measurement; WSN; distributed monitoring application; omnidirectional proximity detection; proximity sensor; received signal strength value; robust wireless proximity detection; time-of-flight value; wearable wireless sensor network; Accuracy; Delay; Distance measurement; Trajectory; Uncertainty; Wireless communication; Wireless sensor networks; Proximity sensors; distance estimation; wireless sensor networks (WSNs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurements and Networking Proceedings (M&N), 2011 IEEE International Workshop on
Conference_Location :
Anacapri
Print_ISBN :
978-1-4577-0455-0
Type :
conf
DOI :
10.1109/IWMN.2011.6088482
Filename :
6088482
Link To Document :
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