Experiences and Investigations with Heraklion MESH: An Experimental Metropolitan Multi-Radio Mesh Network

Delakis, M.; Mathioudakis, K.; Petroulakis, Nikolaos E.; Siris, Vasilios A.

doi:10.4108/tridentcom.2008.3151

Cited by 17 publications

(23 citation statements)

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“…Adjacent channels in IEEE 802.11a, contrary to common belief, can interfere with each other when their connected antennas are close [16], [17], [1]; this occurs when a wireless interface is receiving and another interface in the same mesh node is transmitting. In such cases, the links would need to be assigned channels with a separation that depends on the distance between their corresponding antennas.…”

Section: Multi-point Link Conflict Graphmentioning

confidence: 99%

“…The metropolitan mesh network that was used as a testbed to evaluate proposed channel assignment procedure covers an area of approximately 60 Km 2 and currently contains 14 nodes, Figure 4, among which six are core mesh nodes, [1]. The distance and antennas used for the links between core mesh nodes 4 are shown in Table I.…”

Section: A Metropolitan Wireless Mesh Test-bedmentioning

confidence: 99%

“…assignment in an experimental metropolitan wireless multiradio mesh network we deployed in the city of Heraklion [1]. Our goal for deploying the network is to investigate the performance of a multi-radio mesh network built from commodity components in a metropolitan environment, to evaluate channel assignment, MAC/network layer mechanisms, and routing metrics for supporting performance guarantees in multi-radio, multi-channel, multi-rate mesh networks, and to investigate innovative applications that require pervasive and high-speed broadband access.…”

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confidence: 99%

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Channel assignment in a metropolitan wireless multi-radio mesh network

Delakis

Siris

2008

2008 5th International Conference on Broadband Communications, Networks and Systems

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Abstract-We investigate the problem of channel assignment in a metropolitan wireless multi-radio mesh network with directional antennas. We first present a new conflict graph model for capturing the interference between links in a mesh network with a known wireless interface communication graph. Then we present a channel assignment procedure which accounts for interference both between links internal to the mesh network, and from external sources. Key components of the channel assignment procedure are the interference model, the link ordering, and the channel selection metric. We have implemented and evaluated the proposed channel assignment procedure in an actual metropolitan mesh network with link distances from 1.6 to 5 Km. The experimental results demonstrate how link ordering and the channel selection metric affect performance, in terms of the average packet delay and http latency. Moreover, the experimental results show that the proposed channel assignment procedure achieves performance that is within approximately 11% of a lower bound of the average packet delay, and significantly higher than the performance achieved with a simpler interference-unaware procedure.

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Section: Multi-point Link Conflict Graphmentioning

confidence: 99%

Section: A Metropolitan Wireless Mesh Test-bedmentioning

confidence: 99%

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confidence: 99%

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Channel assignment in a metropolitan wireless multi-radio mesh network

Delakis

Siris

2008

2008 5th International Conference on Broadband Communications, Networks and Systems

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“…A sign of the interest in mesh networking is the number of start-ups and big companies offering mesh solutions (e.g., Tropos Networks, MeshDynamics, Firetide, etc. ), as well as the considerable number of grassroots groups and research initiatives that use this technology to share Internet connectivity across neighborhoods, campuses and city blocks (e.g., MIT Roofnet [4], UCSB MeshNet [18], TAP Project at Rice University [7], Heraklion MESH in Crete [10], etc. ).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a lot of work have been done recently on understanding the impact of various factors, such as multi-hop communications and interference, on the mesh network performance [1,7,10]. In parallel, there have been several studies to develop new mechanisms and algorithms to take advantage of the multi-channel and multi-rate capabilities of 802.11 devices, and to exploit the channel and path diversity [2,4,7,11,12].…”

Section: Introductionmentioning

confidence: 99%

Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks

Ancillotti

Bruno

Conti

2008

Proceedings of the 5th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

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In this paper we present an experimental study conducted in 802.11-based mesh networks of three existing rate adaptation algorithms. The aim of this study is twofold. On the one hand, we explore the ability of these algorithms to cope with moderate to high medium contention levels. On the other hand, we investigate their performance on medium-distance 802.11 links. Our study indicates that, in congested networks, the network throughput can degrade up to ten times with respect to the best performance if the rate decision process is based solely on frame loss rates, without differentiating between the various causes of losses (i.e., channel errors or collisions). In addition, we have shown that these rate adaptation strategies perform reasonably well when the time correlation between channel errors is at least of the order of the sampling period used to estimate the channel dynamics. We believe that this study can be useful to derive correct guidelines for the design of new optimized rate adaptation algorithms taking into consideration the above factors.

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Introduction

Pathak¹,

Dutta²

2012

Designing for Network and Service Continuity in Wireless Mesh Networks

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Experiences and Investigations with Heraklion MESH: An Experimental Metropolitan Multi-Radio Mesh Network

Cited by 17 publications

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Channel assignment in a metropolitan wireless multi-radio mesh network

Channel assignment in a metropolitan wireless multi-radio mesh network

Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks

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