Managing cohort movement of mobile sensors via GPS-free and compass-free node localization

Akcan, Hüseyin; Kriakov, Vassil; Brönnimann, Hervé; Delis, Alex

doi:10.1016/j.jpdc.2010.03.007

Cited by 13 publications

(7 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The position information of the anchors or seed nodes are usually pre-set or gathered via GPS, therefore their use is not practical for adhoc deployments of sensors. In some applications [1,2,11,24,30,34,39,41] node positions in the local coordinate system of the network is sufficient, therefore localization is possible without an external positioning infrastructure. In order to perform localization, only local information such as neighborhood data and distances between nodes are used.…”

Section: Related Workmentioning

confidence: 99%

“…In addition to static networks, localization is also studied in mobile sensor networks with the assumption that only some [27,40] or all the nodes [1,2,34,50] can be mobile. Localization systems is also studied in vehicular adhoc networks [7,8,25,35].…”

Section: Related Workmentioning

confidence: 99%

“…Directional localization was introduced in [1,2], where the nodes calculate the exact positions of their neighbors in their local coordinate system, both in terms of distance and orientation. Our algorithm also performs directional localization in static networks by using only ranging, while [1] and [2] require additional hardware, and work only on mobile networks.…”

Section: Related Workmentioning

confidence: 99%

“…Our algorithm also performs directional localization in static networks by using only ranging, while [1] and [2] require additional hardware, and work only on mobile networks. Localization using only ranging is studied in [11,24,30], however, all these methods assume initial virtual coordinates for the nodes, therefore do not perform directional localization.…”

Section: Related Workmentioning

confidence: 99%

“…In order to support critical applications, such as collision avoidance, directional localization [1,2] methods are needed. For example, two vehicles in a collision course should detect the real world positions of each other to plan an accurate escape route to avoid collisions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

GPS-free directional localization via dual wireless radios

Akcan

Evrendilek

2012

Computer Communications

Self Cite

View full text Add to dashboard Cite

Location discovery, especially in mobile environments, has recently become the key component of many applications. Accurate location discovery, particularly in safety critical applications using autonomous robots or unmanned vehicles, however, is still an open problem. Existing popular methods either heavily rely on the use of global positioning systems (GPS) which do not readily lend themselves for use for the majority of applications where precision is of primary concern or are not suitable for ad-hoc deployments. In this paper, we propose a novel directional localization algorithm, called Dual Wireless Radio Localization (DWRL), which performs accurate node localizations in the plane using only distances between nodes, without the use of a GPS or nodes with known positions (anchors). The main novelty of DWRL is the use of an additional radio per node to support directional localization in static networks. To the best of our knowledge, this is the first time dual radios are employed in a localization setting. Existence of the dual radios on board enables DWRL algorithm to perform directional localization, which is not possible with existing single radio systems in static networks. We present the practical and theoretical benefits of the use of an additional radio per node in detail, test our algorithm under excessive synthetic and real-world noise scenarios, and show that DWRL algorithm is robust enough to perform directional localization even in high noise environments.

show abstract