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The κ factor: inferring protocol performance using inter-link reception correlation

Published: 20 September 2010 Publication History

Abstract

This paper explores metrics that capture to what degree packet reception on different links is correlated. Specifically, it explores metrics that shed light on when and why opportunistic routing and network coding protocols perform well (or badly). It presents a new metric, κ that, unlike existing widely used metrics, has no bias based on the packet reception ratios of links. This lack of bias makes κ a better predictor of performance of opportunistic routing and network coding protocols. Comparing Deluge and Rateless Deluge, Deluge's network coding counterpart, we find that κ can predict which of the two is best suited for a given environment. For example, irrespective of the packet reception ratios of the links, if the average κ of the link pairs is very high (close to 1.0), then using a protocol that does not code works better than using a network coding protocol.
Measuring κ on several 802.15.4 and 802.11 testbeds, we find that it varies significantly across network topologies and link layers. κ can be a metric for quantifying what kind of a network is present and help decide which protocols to use for that network.

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      cover image ACM Conferences
      MobiCom '10: Proceedings of the sixteenth annual international conference on Mobile computing and networking
      September 2010
      402 pages
      ISBN:9781450301817
      DOI:10.1145/1859995
      • General Chair:
      • Nitin Vaidya,
      • Program Chairs:
      • Suman Banerjee,
      • Dina Katabi
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 20 September 2010

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      Author Tags

      1. 802.15.4
      2. low power wireless networks
      3. wireless measurement study
      4. wireless protocol design

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      • (2023)Reliability Assessment of Distributed Network Control System Based on Time Delay EvaluationIEEE Access10.1109/ACCESS.2023.332840011(123004-123017)Online publication date: 2023
      • (2022)A Novel Routing Algorithm with Bernoulli Sampling-based Link Quality Estimation in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-022-09840-6126:3(2753-2779)Online publication date: 24-Jun-2022
      • (2021)Link-Correlation-Aware Opportunistic Routing in Low-Duty-Cycle Wireless NetworksSensors10.3390/s2111384021:11(3840)Online publication date: 1-Jun-2021
      • (2021)Mitigating the effect of negative link correlation on contention mechanism of MAC protocols in wireless sensor networksIET Communications10.1049/iet-com.2019.094714:22(4007-4013)Online publication date: 16-Feb-2021
      • (2019)Online Period Selection for Wireless Control Systems2019 IEEE International Conference on Industrial Internet (ICII)10.1109/ICII.2019.00042(170-179)Online publication date: Nov-2019
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      • (2018)An Optimized Link Correlation Model for Opportunistic RoutingIEEE Communications Letters10.1109/LCOMM.2018.287508522:12(2543-2546)Online publication date: Dec-2018
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      • (2018)Towards Repeatable Wireless Network Simulation Using Performance Aware Markov ModelIEEE INFOCOM 2018 - IEEE Conference on Computer Communications10.1109/INFOCOM.2018.8485895(2168-2176)Online publication date: Apr-2018
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