An RSSI based DV-hop algorithm for wireless sensor networks

Han, Xiao; Zhang, Hao; Wang, Zengfeng; Gulliver, T. Aaron

doi:10.1109/pacrim.2017.8121929

Cited by 30 publications

(21 citation statements)

References 18 publications

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“…An ad-hoc positioning system based on AOA measurements is reported in (Niculescu and Nath, 2003). Authors in (Xiao et al, 2017) use a distance vector hop algorithm for wireless sensor networks based on the received signal strength indicator for positioning. Experimental results on ad-hoc networks that are selforganized by means of flying robots are studied in (Rosati et al, 2016).…”

Section: Ad-hoc Networkmentioning

confidence: 99%

Time of Flight Estimation for Radio Network Positioning

Radnosrati

2020

Linköping Studies in Science and Technology. Dissertations

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Trilateration is the mathematical theory of computing the intersection of circles. These circles may be obtained by time of flight (ToF) measurements in radio systems, as well as laser, radar and sonar systems. A first purpose of this thesis is to survey recent efforts in the area and their potential for localization. The rest of the thesis then concerns selected problems in new cellular radio standards as well as fundamental challenges caused by propagation delays in the ToF measurements, which cannot travel faster than the speed of light. We denote the measurement uncertainty stemming from propagation delays for positive noise, and develop a general theory with optimal estimators for selected distributions, which can be applied to trilateration but also a much wider class of estimation problems. The first contribution concerns a narrow-band mode in the long-term evolution (LTE) standard intended for internet of things (IoT) devices. This LTE standard includes a special position reference signal sent synchronized by all base stations (BS) to all IoT devices. Each device can then compute several pair-wise time differences that correspond to hyperbolic functions. The simulation-based performance evaluation indicates that decent position accuracy can be achieved despite the narrow bandwidth of the channel. The second contribution is a study of how timing measurements in LTE can be combined. Round trip time (RTT) to the serving BS and time difference of arrival (TDOA) to the neighboring BS are used as measurements. We propose a filtering framework to deal with the existing uncertainty in the solution and evaluate with both simulated and experimental test data. The results indicate that the position accuracy is better than 40 meters 95% of the time. The third contribution is a comprehensive theory of how to estimate the signal observed in positive noise, that is, random variables with positive support. It is well known from the literature that order statistics give one order of magnitude lower estimation variance compared to the best linear unbiased estimator (BLUE). We provide a systematic survey of some common distributions with positive support, and provide derivations and summaries of estimators based on order statistics, including the BLUE one for comparison. An iterative global navigation satellite system (GNSS) localization algorithm, based on the derived estimators, is introduced to jointly estimate the receiver's position and clock bias. The fourth contribution is an extension of the third contribution to a particular approach to utilize positive noise in nonlinear models. That is, order statistics have been employed to derive estimators for a generic nonlinear model with positive noise. The proposed method further enables the estimation of the hyperparameters of the underlying noise distribution. The performance of the proposed estimator is then compared with the maximum likelihood estimator when the underlying noise follows either a uniform or exponential distribution. v The quest for pursuing a doctoral d...

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Section: Ad-hoc Networkmentioning

confidence: 99%

Time of Flight Estimation for Radio Network Positioning

Radnosrati

2020

Linköping Studies in Science and Technology. Dissertations

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“…Location assisted protocols employ variety of techniques such as distance estimation mechanisms, position estimation of nodes and range estimation methods. In case of distance estimation mechanisms, the use of weighted distance-vector hop algorithm has been proposed based on received signal strength, which calculates the average hop-distance among the nodes via path loss models and corrections are applied through the use of GPS [23]. The results indicate that the use of location assisted approach outperforms conventional algorithms in use.…”

Section: Location Assisted Protocolsmentioning

confidence: 99%

A Review of Routing Protocol Selection for Wireless Sensor Networks in Smart Cities

Khalil

Ammar

Khan

et al. 2018

2018 24th Asia-Pacific Conference on Communications (APCC)

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Today, the advancements in urban technology have transformed into the concept of smart cities. These smart cities are envisioned to be heavily dependent on wireless sensor networks and internet of things. In this context, a number of routing protocols have been proposed in literature for use in sensor networks. We articulate on why these routing protocols need to be segregated on the basis of their operational mechanism and utility, so that selection of these protocols results in network longevity and improved performance. We classify these protocols in four categories in terms of topology incognizant, data centric, location assisted and mobility based protocols. We identify the prevailing open issues to make space for more productive research and propose how these categories may be useful in terms of their operational utility.

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“…An ad-hoc positioning system based on aoa measurements is reported in [96]. Authors in [127] use a distance vector hop algorithm for wireless sensor networks based on the received signal strength indicator for positioning. Experimental results on ad-hoc networks that are self-organized by means of flying robots are studied in [104].…”

Section: Ad-hoc Networkmentioning

confidence: 99%

On Timing-Based Localization in Cellular Radio Networks

Radnosrati¹

2018

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An RSSI based DV-hop algorithm for wireless sensor networks

Cited by 30 publications

References 18 publications

Time of Flight Estimation for Radio Network Positioning

Time of Flight Estimation for Radio Network Positioning

A Review of Routing Protocol Selection for Wireless Sensor Networks in Smart Cities

On Timing-Based Localization in Cellular Radio Networks

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