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Otiy: locators tracking nodes

Published: 10 December 2007 Publication History

Abstract

We propose Otiy, a node-centric location service that limits the impact of location updates generate by mobile nodes in IEEE 802.11-based wireless mesh networks. Existing location services use node identifiers to determine the locator (aka anchor) that is responsible for keeping track of a node's location. Such a strategy can be inefficient because: (i) identifiers give no clue on the node's mobility and (ii) locators can be far from the destination thus increasing location updates path length and bandwidth consumption. To solve these issues, Otiy introduces a new strategy that identifies nodes to play the role of locators based on the likelihood of a destination to be close to these nodes -- i.e., locators are identified depending on the mobility pattern of nodes. Otiy relies on the cyclic mobility patterns of nodes and creates a slotted agenda composed of a set of predicted locations, defined according to the past and present patterns of mobility. Correspondent nodes fetch this agenda and use it as a reference for identifying which locator is currenty in charge for the node. Over a period of about one year, the weekly proportion of nodes having at least 50% of exact location predictions is in average about 75%. This proportion increases by 10% when nodes also consider their closeness to the locator from only what they know about the network. In this paper we focus on the analysis of the concepts behind Otiy leaving more quantitative and comparative results for future work.

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cover image ACM Conferences
CoNEXT '07: Proceedings of the 2007 ACM CoNEXT conference
December 2007
448 pages
ISBN:9781595937704
DOI:10.1145/1364654
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: 10 December 2007

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Overall Acceptance Rate 198 of 789 submissions, 25%

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View all
  • (2013)On the relevance of the edge-Markovian evolving graph model for real mobile networks2013 IFIP Wireless Days (WD)10.1109/WD.2013.6686487(1-6)Online publication date: Nov-2013
  • (2013)A Survey on Mobility and Mobility-Aware MAC Protocols in Wireless Sensor NetworksIEEE Communications Surveys & Tutorials10.1109/SURV.2012.013012.0005115:1(88-100)Online publication date: Sep-2014
  • (2011)PriceComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.03.01455:9(2352-2360)Online publication date: 1-Jun-2011
  • (2011)Near-zero triangular location through time-slotted mobility predictionWireless Networks10.1007/s11276-010-0291-x17:2(465-478)Online publication date: 1-Feb-2011
  • (2009)An analysis of human mobility using real tracesProceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference10.5555/1688345.1688764(2390-2395)Online publication date: 5-Apr-2009
  • (2009)An Analysis of Human Mobility Using Real Traces2009 IEEE Wireless Communications and Networking Conference10.1109/WCNC.2009.4917569(1-6)Online publication date: Apr-2009
  • (2008)Design and Evaluation of an Agenda-Based Location ServiceIEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference10.1109/GLOCOM.2008.ECP.1031(1-5)Online publication date: Nov-2008
  • (2008)Link quality prediction in mesh networksComputer Communications10.1016/j.comcom.2008.01.04731:8(1497-1512)Online publication date: 20-May-2008

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