Conference Paper

Outage optimum routing for wireless networks

DOI: 10.1109/IWCMC.2011.5982498 Conference: Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011, Istanbul, Turkey, 4-8 July, 2011
Source: DBLP


A new routing metric for multi-hop wireless ad hoc networks is presented. The proposed metric is based on the computation of Signal-to-Noise Ratio (SNR) and minimization of wireless network outage probability in a fading environment. This metric improves the Quality-of-Service by reducing dropped packets. Further, by modeling the network with a Trellis diagram and then using Viterbi Algorithm to select the best routing path, we reduce the routing complexity of our approach. Simulation results demonstrate the improvement achieved by implementa- tion of this new metric. Performance of the proposed metric is compared to other commonly used routing metrics such as Minimum Hop Count (MinHop), Expected Transmission Count (ETX) and two other SNR-based metrics in both mobile and stationary networks. Index Terms—Mobile ad hoc networks, Routing protocols, Outage Probability, Quality-of-Service, Signal to noise ratio, Viterbi Algorithm

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Available from: Bahador Amiri, Apr 26, 2014
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    • "where γ min is the minimum SNR required for supporting a certain data rate. Outage probability is a very critical parameter and has been considered by several researchers as optimization criteria [19], [20]. For an application with outage probability requirement of P , one constraint which needs to be satisfied is P out ≤ P . "
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    ABSTRACT: This paper introduces a new cross-layer design metric called Application-Constrained MAC-Aware Capacity (ACMAC). ACMAC considers outage capacity, MAC layer and application layer Quality-of-Service (QoS) requirements to derive the lower and upper bounds of the transmission rate. Theoretical derivation of this metric demonstrates the importance of considering different layers of the network. Further, we show how to use ACMAC as a cross layer optimization criterion to generate frameworks for selecting different parameters such as transmit rate, channel or route selection in wireless networks. Our simulation results show that ACMAC is very accurate in predicting network performance such as throughput while satisfying QoS parameters like Packet Error rate (PER). Network performance can be impacted by several parameters from different layers. As a result, cross layer optimization and design has emerged as a very important subject in advanced networking. In this paper, we introduce a new cross-layer design metric called Application-Constrained MAC-Aware Capacity (ACMAC). This metric which is fundamentally based on outage capacity also considers MAC-layer wireless medium awareness application layer. Additionally, ACMAC takes application layer Quality-of-Service requirements to derive constrained on lower and upper bounds on the transmission rate.
    Full-text · Conference Paper · Mar 2014