FAME: A Flow Aggregation MEtric for Shortest Path Routing Algorithms in Multi-Hop Wireless Networks

Energy consumption has become a key issue in the design of communication systems. Indeed, both for economic and green reasons, the concept of energy saving appears at an early stage of projects, fully integrating the list of expected performance, as well as throughput or security. In multihop wirele...

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Published inIEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1 - 6
Main Authors Laube, Alexandre, Martin, Steven, Quadri, Dominique, Al Agha, Khaldoun, Pujolle, Guy
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
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ISSN1558-2612
DOI10.1109/WCNC.2017.7925496

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Abstract Energy consumption has become a key issue in the design of communication systems. Indeed, both for economic and green reasons, the concept of energy saving appears at an early stage of projects, fully integrating the list of expected performance, as well as throughput or security. In multihop wireless networks, several energy-aware approaches have been proposed with specific goals, such as network's lifetime or stability. To reduce the global energy consumption of such networks, we proposed in a previous work an optimal solution with interference consideration, based on mixed integer linear programming, to route a set of flows over a minimal number of nodes. Thus, without degrading flow rates, inactive nodes can be put in a sleep mode or be turned off to maximize energy savings. Indeed, the energy consumption related to communication is just a fraction of the total consumption of a node In this article, we are going a step further, by providing a metric to efficiently aggregate flows with classical shortest path algorithms. Thanks to a theoretical comparison and simulations, we demonstrate the significant gains can be obtained with our approach. Finally, we discuss on ways to implement our solution in existing routing protocols, in a fully distributed manner, and other considerations that may need to take on.
AbstractList Energy consumption has become a key issue in the design of communication systems. Indeed, both for economic and green reasons, the concept of energy saving appears at an early stage of projects, fully integrating the list of expected performance, as well as throughput or security. In multihop wireless networks, several energy-aware approaches have been proposed with specific goals, such as network's lifetime or stability. To reduce the global energy consumption of such networks, we proposed in a previous work an optimal solution with interference consideration, based on mixed integer linear programming, to route a set of flows over a minimal number of nodes. Thus, without degrading flow rates, inactive nodes can be put in a sleep mode or be turned off to maximize energy savings. Indeed, the energy consumption related to communication is just a fraction of the total consumption of a node In this article, we are going a step further, by providing a metric to efficiently aggregate flows with classical shortest path algorithms. Thanks to a theoretical comparison and simulations, we demonstrate the significant gains can be obtained with our approach. Finally, we discuss on ways to implement our solution in existing routing protocols, in a fully distributed manner, and other considerations that may need to take on.
Author Quadri, Dominique
Al Agha, Khaldoun
Laube, Alexandre
Martin, Steven
Pujolle, Guy
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Snippet Energy consumption has become a key issue in the design of communication systems. Indeed, both for economic and green reasons, the concept of energy saving...
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SubjectTerms Ad hoc networks
Energy consumption
Interference
Measurement
Routing
Spread spectrum communication
Wireless networks
Title FAME: A Flow Aggregation MEtric for Shortest Path Routing Algorithms in Multi-Hop Wireless Networks
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