Predictive Multiple Metrics in Proactive Mobile Ad Hoc Network Routing

  • Authors:
  • Zhihao Guo;Behnam Malakooti

  • Affiliations:
  • Case Western Reserve University, USA;Case Western Reserve University, USA

  • Venue:
  • LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
  • Year:
  • 2007

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Abstract

In this paper we present a MANET proactive routing enhancement scheme by comprehensive evaluation of multiple dynamic routing metrics, including delay, energy cost, and link stability. We developed efficient routing metric prediction methods: predicting delay and energy using double exponential smoothing, and predicting link stability using a heuristic based on the normal-like distributions of the link lifetimes in typical MANET mobility scenarios. The routing metrics predictions are incorporated with regular routing information exchanges. On each node, routing table is constructed by a modified version of Dijkstra's algorithm, which evaluates the predicted metrics values compositively. We integrated such a multi-metric prediction/evaluation mechanism into OLSR and name it OLSR_MC. We show by simulation that OLSR_MC is more adaptive to the network dynamics and therefore is able to improve performance significantly on multiple routing objectives, including higher packet delivery ratio, shorter average end-to-end delay, and prolonged network energy lifetime.