Link quality analysis and measurement in wireless mesh networks

Kolar, Vinay; Razak, Saquib; Mähönen, Petri; Abu-Ghazaleh, Nael

doi:10.1016/j.adhoc.2011.03.005

Cited by 13 publications

(19 citation statements)

References 19 publications

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“…We have observed that links that cross the rows suffer from lower received signal strength because of the concrete and glass separation. This leads to 4 reasonably All the boards are connected through an Ethernet control channel to initiate Link Measurement Protocol [27] and transmit link broadcast packets. The measurement protocol is initiated at the start of the experiment, where all nodes compute propagation factors C ij .…”

Section: Initial Testbed Evaluation and Discussionmentioning

confidence: 99%

“…However, we conjecture on why CLP optimizes only certain set of links based on some observations. We classify the links into three categories based on the connectivity [27]: 1. Strong links: The C sd between the source s and destination d is high, and hence they are less prone to packet collisions from subtle interference.…”

Section: Initial Testbed Evaluation and Discussionmentioning

confidence: 99%

“…The C ij for these links are not high, and these links have high Packet Error Rate (PER) [27]. Link 2−5 and 2 − 3 are gray-zone links at transmission powers less than 3 dBm and 0 dBm, respectively.…”

Section: Gray-zone Linksmentioning

confidence: 99%

“…Currently, the above algorithm requires modification on APs and clients; the nodes have to be equipped with measurement protocols to estimate interference parameters. In future, we plan to evaluate intelligent and distributed measurement techniques where the APs sniff client packets, and infer the interference parameters (similar to micro-probing [31] or LQ-measure [27]). …”

Section: B Interaction Engineering In Wlansmentioning

confidence: 99%

“…In our testbed, we perform link measurements [27] to calculate this variable. Such algorithms have O(N ) complexity to measure all propagation factors in a network [28], and can be invoked on demand.…”

Section: Nodes Initiate Link Measurement Protocol To Measure the Propmentioning

confidence: 99%

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Interaction Engineering: Achieving Perfect CSMA Handshakes in Wireless Networks

Kolar¹,

Razak

Abu-Ghazaleh

2014

IEEE Trans. on Mobile Comput.

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Abstract-Carrier Sense Multiple Access (CSMA) protocols are unable to effectively arbitrate the medium in wireless networks; problems such as hidden and exposed terminals occur frequently leading to collisions, poor performance and unfairness. CSMA networks can be optimized by careful tuning of transceiver parameters, such as transmission power and carrier sensing threshold, to maximize spatial reuse of wireless channel while minimizing collisions. However, existing studies fail to jointly optimize these parameters to eliminate collisions and maximize spatial reuse. Our approach leverages on the observation that links under CSMA interfere in one of the few discrete interaction modes; each mode leads to different behavior in terms of performance and fairness. The proposed methodology controls the transceiver parameters to convert destructive interaction modes (such as various types of hidden terminals) into constructive ones; we call this approach Interaction Engineering (IE). In this paper, we first formulate a model and centralized algorithm that computes the parameters based on one-to-one interaction between the links. We then develop a distributed IE protocol. We evaluate the protocols under Wireless LAN and multi-hop wireless networks using both simulation and testbed. We show that IE eliminates a vast majority of the collisions and significantly boosts spatial reuse. For example, in the WLAN scenarios, we observed a median improvement of 4× in throughput and more than 2.5× improvement in fairness, and orders of magnitude improvement in connection delay and jitter. IE also shows significant improvements in multi-hop networks, and under different forms of traffic such as video and TCP.

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Section: Initial Testbed Evaluation and Discussionmentioning

confidence: 99%

Section: Initial Testbed Evaluation and Discussionmentioning

confidence: 99%

Section: Gray-zone Linksmentioning

confidence: 99%

Section: B Interaction Engineering In Wlansmentioning

confidence: 99%

Section: Nodes Initiate Link Measurement Protocol To Measure the Propmentioning

confidence: 99%

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