Localization in Vehicular Ad Hoc Networks

Benslimane, Abderrahim

doi:10.1109/icw.2005.54

Cited by 66 publications

(52 citation statements)

References 5 publications

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“…In this system the position accuracy depends highly on the number of vehicles with GPS signal and signal accepting threshold. Similarly, [14] presented a location estimation method for vehicles without GPS using a minimum of three GPS-equipped vehicles as reference points. This latter requirement results in the system suffering from inaccuracy of location estimation in low traffic densities.…”

Section: Related Workmentioning

confidence: 99%

On the sensitivity of geo-based content sharing to location errors

Ott

Karkkainen

Walelgne

et al. 2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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Section: Related Workmentioning

confidence: 99%

On the sensitivity of geo-based content sharing to location errors

Ott

Karkkainen

Walelgne

et al. 2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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“…The impact of noise level on the performance of SCL-VNET scheme and existing solutions for V2V communication [8,10], [11] are performed in this section at different performance metrics such as localization accuracy and the number of vehicular nodes that can estimate their locations. Each metric is studied for urban regions at high, moderate and low traffic density in which the path loss exponent is 3.1 and 25% of beacon nodes are available.…”

Section: The Impact Of Noise Levelmentioning

confidence: 99%

“…The second phase is called an estimation phase, illustrated in Lines (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), which a new list called (beacon list) is established to contain all existing 1-hop beacons. Such phase is performed whether the number of 1-hop beacons is greater than, equal, or less than three.…”

Section: The Proposed Localization Schemementioning

confidence: 99%

“…Many research works have been introduced in node localization using radio ranging techniques for sensor networks such as [6], [7] and [8] and for vehicular ad hoc networks such as [9], [10] and [11]. The existing solutions for vehicular ad hoc networks estimate node location using basic analytical model for received signal strength indicator (RSSI) by different manners.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Self-Correcting Localization Scheme for Vehicle to Vehicle Communication

Mageid¹

2016

ijcna

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-Vehicle to Vehicle communication (V2V) has taken place in research interest for many purposes such as road safety and traffic management. An accurate estimation for vehicular node position is important for such type of communication. A vehicular node can be equipped with Global Positioning Systems (GPS) to estimate its position. In practice, many vehicular nodes may lose GPS signals in rural regions due to dense foliage, or in urban regions due to compact high buildings. In this paper, the received signal strength indication (RSSI) is exploited to assist vehicular nodes to estimate their locations using inter-vehicle communication. High dynamic network topology in V2V is expected due to high node mobility. As a result, the localization error due to signal strength measurements clearly increases compared to low dynamic network topology. The proposed scheme is self-correcting solution which studies the network topology scenarios that increase localization errors and introduces optimal techniques to minimize such errors. Performance evaluation and simulation results show that this work improves localization accuracy and increases the number of vehicular nodes that estimate their locations compared to existing localization schemes.Index Terms -Vehicular ad-hoc networks, Vehicle to Vehicle communication, Localization, Radio ranging, Path loss, Shadowing.

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“…A VANET based localization method was introduced in Benslimane (2005) for localizing vehicles with no GPS receivers, or those whose location can not be determined because satellite signals have been lost, for instance, in a tunnel. With this method, vehicles that are not equipped with GPS determine their own locations by relying on information they receive from vehicles that are equipped with GPS.…”

Section: Vehicle Localization In Vanetmentioning

confidence: 99%