Proceedings of the 34th Annual Hawaii International Conference on System Sciences
DOI: 10.1109/hicss.2001.927202
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GPS-free positioning in mobile ad-hoc networks

Abstract: In this paper we consider the problem of node positioning in ad-hoc

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Cited by 713 publications
(520 citation statements)
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“…However, it is promising that multi-hop information can lead to better performance in many aspects including routing, message broadcasting and channel access scheduling [7], [13]- [15]. Details of several distributed information exchange schemes and efficient algorithms in computing 2-hop neighborhood information for wireless ad hoc and sensor networks can be found in [16]- [18]. In a network of n nodes, a complexity analysis is reported in [19] that every node can obtain the knowledge of 2-hop neighborhood by a total of O(n) messages, each of O(log n) bits.…”
Section: Related Workmentioning
confidence: 99%
“…However, it is promising that multi-hop information can lead to better performance in many aspects including routing, message broadcasting and channel access scheduling [7], [13]- [15]. Details of several distributed information exchange schemes and efficient algorithms in computing 2-hop neighborhood information for wireless ad hoc and sensor networks can be found in [16]- [18]. In a network of n nodes, a complexity analysis is reported in [19] that every node can obtain the knowledge of 2-hop neighborhood by a total of O(n) messages, each of O(log n) bits.…”
Section: Related Workmentioning
confidence: 99%
“…Many of the above issues (eg, location determination without GPS, Geo Location server, perimeter routing to circumvent local maxima) have already been studied extensively in the literature [15,16,17] and will not be addressed here. However, previous studies were mostly based on UDP and lightly loaded networks.…”
Section: Airborne Swarmsmentioning
confidence: 99%
“…Semantic locations are obtained by mapping low-level hardware observables to semantic identifiers. The framework is modular to allow the use of different low-level localization techniques [5,10]. Our current implementation uses a combination of 802.11 scene analysis [1] and attenuation monitoring.…”
Section: The Panoply Middlewarementioning
confidence: 99%