Paper
12 May 2016 On using multiple routing metrics with destination sequenced distance vector protocol for MultiHop wireless ad hoc networks
M. Mehic, P. Fazio, M. Voznak, P. Partila, D. Komosny, J. Tovarek, Z. Chmelikova
Author Affiliations +
Abstract
A mobile ad hoc network is a collection of mobile nodes which communicate without a fixed backbone or centralized infrastructure. Due to the frequent mobility of nodes, routes connecting two distant nodes may change. Therefore, it is not possible to establish a priori fixed paths for message delivery through the network. Because of its importance, routing is the most studied problem in mobile ad hoc networks. In addition, if the Quality of Service (QoS) is demanded, one must guarantee the QoS not only over a single hop but over an entire wireless multi-hop path which may not be a trivial task. In turns, this requires the propagation of QoS information within the network. The key to the support of QoS reporting is QoS routing, which provides path QoS information at each source. To support QoS for real-time traffic one needs to know not only minimum delay on the path to the destination but also the bandwidth available on it. Therefore, throughput, end-to-end delay, and routing overhead are traditional performance metrics used to evaluate the performance of routing protocol. To obtain additional information about the link, most of quality-link metrics are based on calculation of the lost probabilities of links by broadcasting probe packets. In this paper, we address the problem of including multiple routing metrics in existing routing packets that are broadcasted through the network. We evaluate the efficiency of such approach with modified version of DSDV routing protocols in ns-3 simulator.
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M. Mehic, P. Fazio, M. Voznak, P. Partila, D. Komosny, J. Tovarek, and Z. Chmelikova "On using multiple routing metrics with destination sequenced distance vector protocol for MultiHop wireless ad hoc networks", Proc. SPIE 9848, Modeling and Simulation for Defense Systems and Applications XI, 98480F (12 May 2016); https://doi.org/10.1117/12.2223671
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Cited by 7 scholarly publications.
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KEYWORDS
Computer simulations

Networks

Mobile communications

Neodymium

Telecommunications

Wireless communications

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