Is RSSI a Good Choice for Localization in Wireless Sensor Network?

Heurtefeux, Karel; Valois, Fabrice

doi:10.1109/aina.2012.19

Cited by 105 publications

(77 citation statements)

References 15 publications

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“…Although time of signal arrival (ToA) and time difference of signal arrival (TDoA) [22] can perform well outdoors, they suffer great multipath interference and other signal attenuations indoors [9,10]. As Heurtefeux and Valois [21] mentioned, these solutions require dedicated hardware at both emitters and receiving ends and perform low in energy consumption. They also pointed out the limitations of RSSIbased schemes, such as signal instability and susceptibility to interference.…”

Section: Related Workmentioning

confidence: 99%

“…In recent researches of indoor localization, WIFI RSSI-based scheme is widely used due to the fact that few extra hardware is required [14,21]. Although time of signal arrival (ToA) and time difference of signal arrival (TDoA) [22] can perform well outdoors, they suffer great multipath interference and other signal attenuations indoors [9,10].…”

Section: Related Workmentioning

confidence: 99%

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Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures

Qiu

Wang

Dai

2014

International Journal of Distributed Sensor Networks

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This paper firstly represents a survey of recent researches on localization of CPS and analyzes the advantages and limitations of the existing schemes. To overcome the limitations, a novel localization scheme is then proposed, which includes site survey, received signal comparison, and location correction phases. The main improvement of our proposed scheme is to filter the noises and interference added to the received RSSI signal; the detailed procedure is then provided with mathematical analysis. Finally, the experiment and simulation results are presented with analysis.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures

Qiu

Wang

Dai

2014

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…It can be used as well to obtain the distance, from a transmission point, given the power of the received signal. The use of RSSI for distance estimation may present some drawbacks, especially for indoor localization, due to the presence of multi-path fading, shadowing and scattering which affects the transmitted signal as depicted in [10]. Heurtefeux and Valois outline that the great popularity of localization protocols based on RSSI (in Wireless Sensor Networks) is mainly due to the fact that no extra hardware is required and the theory formulates the RSSI in terms of distance function, but the disadvantages can make its use for Localization Target purpose unfeasible.…”

Section: Rssi Use In Localization Processesmentioning

confidence: 99%

Associative Search Network for RSSI-Based Target Localization in Unknown Environments

et al. 2015

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Abstract. Received Signal Strength Indicator (RSSI) is commonly considered and is very popular for target localization applications, since it does not require extra-circuitry and is always available on current devices. Unfortunately, target localizations based on RSSI are affected with many issues, above all in indoor environments. In this paper, we focus on the pervasive localization of target objects in an unknown environment. In order to accomplish the localization task, we implement an Associative Search Network (ASN) on the robots and we deploy a real test-bed to evaluate the effectiveness of the ASN for target localization. The ASN is based on the computation of weights, to "dictate" the correct direction of movement, closer to the target. Results show that RSSI through an ASN is effective to localize a target, since there is an implicit mechanism of correction, deriving from the learning approach implemented in the ASN.

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“…RSSI (and LQI) can be considered as attractive, being more precise than the sole existence of a communication link, but results in [14] [15] have shown that RSSI is not a good indicator for distance. So, we choose to focus on the valid links between motes.…”

Section: A Centralized Algorithmmentioning

confidence: 99%

Automatic discovery of topologies and addressing for Linear wireless sensors networks

Sarr

Delobel

Misson

et al. 2012

2012 IFIP Wireless Days

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Abstract-Wireless sensor networks are a collection of sensor nodes that collaborate to sense a specific event in a given environment. When sensors monitor a structure organized linearly (e.g., pipelines, rivers, railways), they are organized in Linear WSN (LWSN, constituted by connected portions of lines), with different properties than a uniformly deployed WSN. The distributed address allocation in the ZigBee cluster-tree suffers from limitations in LWSN: the number of children is limited, as well as the maximum number of children routers, and the maximum tree depth. Stochastic address assignment, also available in ZigBee, has a high cost in exchanged messages and requires an expensive (in terms of messages and memory) routing process. This paper proposes an automatic discovery of topologies for linear wireless sensor networks combined with an efficient addressing mechanism. We show that our proposition avoids the waste of addresses while keeping the number of messages exchanged proportional to the number of nodes in the network.

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Is RSSI a Good Choice for Localization in Wireless Sensor Network?

Cited by 105 publications

References 15 publications

Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures

Improving the Indoor Localization Accuracy for CPS by Reorganizing the Fingerprint Signatures

Associative Search Network for RSSI-Based Target Localization in Unknown Environments

Automatic discovery of topologies and addressing for Linear wireless sensors networks

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