On RSS and TOA based indoor geolocation - a comparative performance evaluation

Hatami, Ahmad; Pahlavan, Kaveh; Heidari, Mohammad; Akgül, Ferit Ozan

doi:10.1109/wcnc.2006.1696648

Cited by 31 publications

(26 citation statements)

References 11 publications

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“…The localization methods can be roughly classified into two types: rangebased localization and range-free localization. Range-based localization methods apply range (angle or distance) information to calculate the location; the ranging measurement techniques include Angle of Arrival (AOA) [5], Received Signal Strength (RSS) [18], Time of Arrival (TOA) [19] and Time Difference of Arrival (TDOA) [20]. Range-free localization methods apply network connections information (connectivity or hop count) to calculate the location, APIT [6] and DV-Hop [7] are examples about these methods.…”

Section: Related Workmentioning

confidence: 99%

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Mobile-Assisted Anchor Outlier Detection for Localization in Wireless Sensor Networks

Abukhalaf¹,

Wang

Zhang

2016

IJFGCN

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Section: Related Workmentioning

confidence: 99%

“…To measure distances between neighboring nodes, the distance ranging techniques such as RSS [18], TOA [19] and TDOA [20] are adopted. The position information of anchor can be obtained by GPS [4] or manual placement.…”

Section: Related Workmentioning

confidence: 99%

Mobile-Assisted Anchor Outlier Detection for Localization in Wireless Sensor Networks

Abukhalaf¹,

Wang

Zhang

2016

IJFGCN

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“…Range-based methods use place analytics such as ToA, TDoA, RSS [13], and AoA to calculate the range between two nodes. Vicinity detecting between nodes is commonly the foundation for range-free methods.…”

Section: Related Workmentioning

confidence: 99%

Security based on Received Signal Strength in Localization for Underwater Sensor Networks

Kaur¹,

Sekhon²

2016

CCS Archive

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Underwater sensor networks are envisioned to enable a broad category of underwater applications such as pollution tracking, offshore exploration, and oil spilling. Such applications require precise location information as otherwise the sensed data might be meaningless. On the other hand, security critical issue as underwater sensor networks are typically deployed in harsh environments. Localization is one of the latest research subjects in UWSNs since many useful applying UWSNs, e.g., event detecting. Now day's large number of localization methods arrived for UWSNs. However, few of them take place stability or security criteria. In purposed work taking up localization in underwater such that various wireless sensor nodes get localize to each other. RSS based localization technique used remove malicious nodes from the communication intermediate node list based on RSS threshold value. Purposed algorithm improves more throughput and less end to end delay without degrading energy dissipation at each node. The simulation is conducted in MATLAB and it suggests optimal result as comparison of end to end delay with and without malicious node.

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“…In fact, based on the literature [10], for calculating the distance or users position coordinates, it has been assumed that the average signal strength is a stationary Gaussian process. Therefore, based on the relationship between transmission power and reception power that is approximated in free space by [11]:…”

Section: B the Patient's Cr Mobile Nodes Position Calculatingmentioning

confidence: 99%

Mitigating the hospital area communication's interference using Cognitive Radio Networks

Ouattara

Quach

Krief

et al. 2013

2013 IEEE 15th International Conference on E-Health Networking, Applications and Services (Healthcom 2013)

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Abstract-The communication infrastructures and devices in hospitals are becoming increasingly wireless because of doctors and nurses are mobile in their work. On the other hand, the hospital patient's communications or their monitoring generates lot of electromagnetic waves. In this context, deployment of wireless networks should not only meet some performance requirements but should also be aware and able to control the interferences. Cognitive Radio Networks (CRNs) seem to be suitable for delivering high-quality communication services and mitigating radio interferences in hospital environment. In this paper, we discuss the design of hospital networks above CRNs to overcome current constraints.

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On RSS and TOA based indoor geolocation - a comparative performance evaluation

Cited by 31 publications

References 11 publications

Mobile-Assisted Anchor Outlier Detection for Localization in Wireless Sensor Networks

Mobile-Assisted Anchor Outlier Detection for Localization in Wireless Sensor Networks

Security based on Received Signal Strength in Localization for Underwater Sensor Networks

Mitigating the hospital area communication's interference using Cognitive Radio Networks

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