2022
DOI: 10.1109/access.2022.3162288
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Robustness Enhanced Sensor Assisted Monte Carlo Localization for Wireless Sensor Networks and the Internet of Things

Abstract: With distributed sensor systems commonly found in Wireless Sensor Networks or the Internet of Things, knowing the location sensor data was acquired from is very important, especially in scenarios with mobile sensors. Range-free Monte Carlo Localization based approaches are very energy efficient and do not require additional hardware beyond a radio, which is found on sensor nodes anyways. However, the use of motion sensor data based dead reckoning greatly improves the accuracy of location estimates and increase… Show more

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Cited by 24 publications
(12 citation statements)
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“…One downside of the proposed algorithms is that there is no way for maliciously labeled anchor nodes to redeem themselves and reclaim their trusted status in the network. In addition, in [91], the authors present a extremely computationally-lightweight while yet retaining the benefits of range-free techniques including low cost and complexity of deployment as well as increased resilience against assaults of secure localization systems. Due to the distributed nature of this approach, it relies on no external resources or single points of failure, thus being able to identify and filter out malicious or malfunctioning anchor nodes, improving localization precision.…”
Section: Local Trust Zonesmentioning
confidence: 99%
See 1 more Smart Citation
“…One downside of the proposed algorithms is that there is no way for maliciously labeled anchor nodes to redeem themselves and reclaim their trusted status in the network. In addition, in [91], the authors present a extremely computationally-lightweight while yet retaining the benefits of range-free techniques including low cost and complexity of deployment as well as increased resilience against assaults of secure localization systems. Due to the distributed nature of this approach, it relies on no external resources or single points of failure, thus being able to identify and filter out malicious or malfunctioning anchor nodes, improving localization precision.…”
Section: Local Trust Zonesmentioning
confidence: 99%
“…Utilizing a satellite-based navigation system is the standard method used for this. However, there are a few problems that come along with using GPS [91]. For example, they are only effective in areas with good reception for satellite signals, which limits their use in certain outdoor settings and prevents them from being used inside.…”
Section: H Sensorsmentioning
confidence: 99%
“…This technique mainly focuses on distance estimation for the implementation of the fault-filtering method based on the communication range of the nodes. In [20], a robustness enhanced sensor assisted Monte Carlo localization (RESA-MCL) method is adopted to identify the accurate position of mobile sensor nodes. Based on the node movements, RESA-MCL enhances the performance of the localization of sensor nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Although Global Position System (GPS) has excellent localization and tracking in outdoor environments [1], it often performs less well when applied to indoor localization. Therefore, indoor localization techniques have been studied by a wide range of people [2][3][4][5]. Many indoor localization methods require the tracked object to carry a specific mobile device [6], while the tracked object cannot bring any device in many cases.…”
Section: Introductionmentioning
confidence: 99%