GUIDE-gradient: A Guiding Algorithm for Mobile Nodes in WLAN and Ad-hoc Networks

González, Marco; Gómez, Javier; Lopez‐Guerrero, Miguel; Rangel, V.; Martha, M.

doi:10.1007/s11277-009-9865-2

Cited by 15 publications

(12 citation statements)

References 8 publications

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“…We used the ns-miracle extension library [20] to support IEEE 802.11bg rate adaptive functionality. This rate adapter sets the actual data rate depending on the distance, as in [21], for a Free-Space propagation model and error-free channel conditions. Transmission range and sensing range were set at 250 and 550 m, respectively.…”

Section: Validation Testsmentioning

confidence: 99%

RegionDCF: A Self-Adapting CSMA/Round-Robin MAC for WLAN

Gómez

Riggi

2015

Wireless Pers Commun

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This paper presents RegionDCF, a self-adapting Media Access Control protocol for WLAN that seamlessly behaves as either CSMA or round-robin access methods simultaneously taking advantage of their most effective properties. In contrast to preceding works in this area that focused on enhancements of a particular access protocol, or on a mechanism that switches between different access protocols, this paper proposes a single access protocol capable of behaving simultaneously as a pure contention-based (e.g., CSMA) and as a roundrobin-based protocol depending on traffic conditions. The main building block of the proposed protocol is the region, a cluster of nodes that establishes orderly access to the channel. Once a member of a region gains channel access through a contention-based protocol, it allows contention-free transmission to all other members of the region in a round-robin manner. The functionality of the protocol for UDP and TCP traffic is discussed. Simulation results show that RegionDCF outperforms standard CSMA-based IEEE 802.11 Distributed Coordination Function in many aspects, including higher throughput and channel efficiency.

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Section: Validation Testsmentioning

confidence: 99%

RegionDCF: A Self-Adapting CSMA/Round-Robin MAC for WLAN

Gómez

Riggi

2015

Wireless Pers Commun

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“…Furthermore, while in robotics one usually positions in absolute coordinate systems, our approach models position as being relative to the network graph. In essence, no global coordinate system is needed but only a sense of direction [12] relative to the information process at hand.…”

Section: Potential Fields Search and Coordinationmentioning

confidence: 99%

“…To do so, they simply ask their neighbor with the smallest xi its location and move towards it with a speed that is proportional to their distance. Even though in this example we consider the locations of nearby robots known, in essence only a sense of direction is needed [12].…”

Section: Multi-agent Rendezvousmentioning

confidence: 99%

On distributed computation of information potentials

Loukas

Woehrle

Glatz

et al. 2012

Proceedings of the 8th International Workshop on Foundations of Mobile Computing

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A common task of mobile wireless ad-hoc networks is to distributedly extract information from a monitored process. We define process information as a measure that is sensed and computed by each mobile node in a network. For complex tasks, such as searching in a network and coordination of robotic swarms, we are typically interested in the spatial distribution of the process information. Spatial distributions can be thought of as information potentials that recursively consider the richness of information around each node. This paper describes a localized mechanism for determining the information potential on each node based on local process information and the potential of neighboring nodes. The mechanism allows us to distributedly generate a spectrum of possible information potentials between the extreme points of a local view and distributed averaging. In this work, we describe the mechanism, prove its exponential convergence, and characterize the spectrum of information potentials. Moreover, we use the mechanism to generate information potentials that are unimodal, i.e., feature a single extremum. Unimodality is a very valuable property for chemotactic search, which can be used in diverse application tasks such as directed search of information and rendezvous of mobile agents.

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“…Or with multiple wireless sniffers in an area of interest, a signal contour map can be built in order to locate the rogue AP [10]. For localizing legitimate APs, existing RSSbased approaches compute the gradient of the RSS value across different locations either with a small set of local measurements online [16], or by integrating the results of a large number of measurements offline [17]. However, all of these RSS based approaches either result in relatively large localization errors due to the complicated indoor signal propagation environments or involve intensive labor due to signal map construction.…”

Section: Introductionmentioning

confidence: 99%

Accurate rogue access point localization leveraging fine-grained channel information

Zheng

Wang

Chen

et al. 2014

2014 IEEE Conference on Communications and Network Security

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Rogue access point (AP) has emerged as an important security problem in WLANs. However, it is a challenge task to localize the rogue AP with both high accuracy and minimal infrastructure cost. Either expensive professional infrastructure (e.g., multiple wireless sniffers) or additional hardware (e.g., directional antenna) need to be pre-deployed for rogue AP localization with high cost. Moreover, existing methods using Received Signal Strength (RSS) result in large error as RSS is suffered from the multipath and shadowing effects in complex wireless environment. In this work, we exploit the channel state information (CSI), which is readily available from commercial Wi-Fi devices, to locate the rogue AP with high accuracy. We use only a single off-the-shelf Wi-Fi device for rogue AP localization which involves minimal infrastructure requirement. Our proposed rogue AP localization framework consists of two components: direction determination and position estimation. By characterizing time domain CSI amplitude, we develop direction determination approach to estimate the direction of the rogue AP at the Wi-Fi device. We further propose two schemes to estimate position of the rogue AP: directions determined at multiple locations grounded on triangulation, or walking towards the rogue AP with direction adjustment. Results from extensive experiments in both indoor and outdoor environments show that our framework can achieve more practical and accurate rogue AP localization when comparing with existing RSS-based approach.

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GUIDE-gradient: A Guiding Algorithm for Mobile Nodes in WLAN and Ad-hoc Networks

Cited by 15 publications

References 8 publications

RegionDCF: A Self-Adapting CSMA/Round-Robin MAC for WLAN

RegionDCF: A Self-Adapting CSMA/Round-Robin MAC for WLAN

On distributed computation of information potentials

Accurate rogue access point localization leveraging fine-grained channel information

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