Metric Anticipation to manage Mobility in Mobile Mesh and ad-hoc Wireless Networks

Sabrina Naimi 1, 2 Anthony Busson 3 Véronique Vèque 1 Ridha Bouallegue 2
3 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
Abstract : In mobile ad hoc networks (MANETs), node mobility management is performed by the routing protocol. It may use metrics to reflect link state/quality. But, the delay between measures of the link quality and its integration in the route computation is very detrimental to the mobility management. Consequently, routing protocols may use lossy links for a few seconds leading to a significant performance deterioration. In this paper, we propose a new routing metric technique calculation which aims at anticipating link quality. Basically, the idea is to predict metric values a few seconds in advance, in order to compensate the delay involved by the link quality measurement and their dissemination by the routing protocol. Our technique is based on measurements of signal strength and is integrated in two classical routing metrics: ETX (expected transmission count) and ETT (expected transmission time). Validations are performed through both simulations and a testbed experimentation with OLSR as routing protocol. NS-3 simulations show that our metric may lead to a perfect mobility management with a packet delivery ratio of 100%. Experiments on a testbed prove the feasibility of our approach and show that this technique reduces the packet error rate by a factor of 3 in an indoor environment compared to the classical metrics calculation.
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Submitted on : Friday, November 30, 2018 - 9:57:01 AM
Last modification on : Thursday, February 7, 2019 - 4:56:18 PM
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Sabrina Naimi, Anthony Busson, Véronique Vèque, Ridha Bouallegue. Metric Anticipation to manage Mobility in Mobile Mesh and ad-hoc Wireless Networks. Annals of Telecommunications - annales des télécommunications, Springer, 2018, 73 (11-12), pp.787-802. ⟨10.1007/s12243-018-0666-z⟩. ⟨hal-01940198⟩

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