Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks

Network coding has been confirmed as a potential technology to improve performance of wireless mesh networks (WMNs); network coding has great advantages for sensor networks like minimization of communication needed to collect sensor data and error recovery. A few network coding aware routings have b...

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Main Authors: Saeed Hamam, Ahmad S. Almogren
Format: Article
Language:English
Published: SAGE Publishing 2016-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2016/5429303
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spelling doaj-e9d9dca8c5434c37aaca99efbc25b7562020-11-25T03:38:22ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772016-03-011210.1155/2016/54293035429303Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor NetworksSaeed HamamAhmad S. AlmogrenNetwork coding has been confirmed as a potential technology to improve performance of wireless mesh networks (WMNs); network coding has great advantages for sensor networks like minimization of communication needed to collect sensor data and error recovery. A few network coding aware routings have been proposed. However, these mechanisms detect coding opportunities through local traffic pattern checking, which hardly obtains optimal routes. This paper proposes a Distributed Dynamic Memetic Algorithm Based Coding Aware Routing (DDMCAR) for wireless mesh networks, which employs memetic algorithm to optimize routes and coding opportunities. This paper proposes an improvement over GCAR algorithm by employing memetic algorithm and also meme sharing among nodes to increase the chance of finding optimal solution and continuous monitoring and update of meme fitness to achieve a dynamic tracking of network conditions, and finally using most fit memes for load balancing elevating congestion. Through simulations on randomly generated wireless mesh networks, DDMCAR is to be shown to find optimal routes within a short time and achieve more improvements than GCAR.https://doi.org/10.1155/2016/5429303
collection DOAJ
language English
format Article
sources DOAJ
author Saeed Hamam
Ahmad S. Almogren
spellingShingle Saeed Hamam
Ahmad S. Almogren
Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Saeed Hamam
Ahmad S. Almogren
author_sort Saeed Hamam
title Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
title_short Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
title_full Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
title_fullStr Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
title_full_unstemmed Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
title_sort distributed dynamic memetic algorithm based coding aware routing for wireless mesh sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2016-03-01
description Network coding has been confirmed as a potential technology to improve performance of wireless mesh networks (WMNs); network coding has great advantages for sensor networks like minimization of communication needed to collect sensor data and error recovery. A few network coding aware routings have been proposed. However, these mechanisms detect coding opportunities through local traffic pattern checking, which hardly obtains optimal routes. This paper proposes a Distributed Dynamic Memetic Algorithm Based Coding Aware Routing (DDMCAR) for wireless mesh networks, which employs memetic algorithm to optimize routes and coding opportunities. This paper proposes an improvement over GCAR algorithm by employing memetic algorithm and also meme sharing among nodes to increase the chance of finding optimal solution and continuous monitoring and update of meme fitness to achieve a dynamic tracking of network conditions, and finally using most fit memes for load balancing elevating congestion. Through simulations on randomly generated wireless mesh networks, DDMCAR is to be shown to find optimal routes within a short time and achieve more improvements than GCAR.
url https://doi.org/10.1155/2016/5429303
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AT ahmadsalmogren distributeddynamicmemeticalgorithmbasedcodingawareroutingforwirelessmeshsensornetworks
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