2018
DOI: 10.1049/iet-wss.2017.0096
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Cooperative localisation over small world WSN using optimal allocation of heterogeneous nodes

Abstract: Localisation of sensor nodes in a wireless sensor network (WSN) is an important problem in various applications like cyber-physical systems, Internet of things and context aware pervasive systems. Cooperative localisation using multidimensional scaling (MDS) has been used successfully in many localisation applications. A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN. However, the estimated distances are erroneous in MDS especially for node pairs th… Show more

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Cited by 7 publications
(3 citation statements)
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“…Cooperative A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN. 4 WSNs and sensor technology advancements have made remote sensing and industrial automation outstanding. Anything can be detected and analysed anywhere.…”
Section: Introductionmentioning
confidence: 99%
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“…Cooperative A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN. 4 WSNs and sensor technology advancements have made remote sensing and industrial automation outstanding. Anything can be detected and analysed anywhere.…”
Section: Introductionmentioning
confidence: 99%
“…Arrangements of sensor nodes in a WSN are an important problem in various applications like cyber‐physical systems, Internet of Things and context‐aware pervasive systems. Cooperative A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN 4 . WSNs and sensor technology advancements have made remote sensing and industrial automation outstanding.…”
Section: Introductionmentioning
confidence: 99%
“…In [10], a multiplicative distance‐correction factor (MDCF) is used to counteract the inaccuracy of RSSI distance estimation. Multidimensional scaling with cooperative localisation over the small world and game theory has been used to improve localisation accuracy in [11, 12]. However, each technique has its limitations, such as TOA required synchronisation between the transmitter and receiver, RSSI faces the problem with multi‐path fading and shadowing mostly in indoor conditions that affect the accuracy.…”
Section: Introductionmentioning
confidence: 99%