Sensors 2012, 12(6), 7548-7575; doi:10.3390/s120607548

A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks

1,2,* email, 1,3email and 1,4email
Received: 13 March 2012; in revised form: 28 May 2012 / Accepted: 29 May 2012 / Published: 7 June 2012
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The networking infrastructure of wireless mesh networks (WMNs) is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devices. Both in urban and rural areas they provide users with high-bandwidth networks over a specific coverage area. The main problems affecting these networks are changes in network topology and link quality. In order to provide regular functioning, the routing protocol has the main influence in WMN implementations. In this paper we suggest a new routing protocol for WMN, based on good results of a proactive and reactive routing protocol, and for that reason it can be classified as a hybrid routing protocol. The proposed solution should avoid flooding and creating the new routing metric. We suggest the use of artificial logic—i.e., neural networks (NNs). This protocol is based on mobile agent technologies controlled by a Hopfield neural network. In addition to this, our new routing metric is based on multicriteria optimization in order to minimize delay and blocking probability (rejected packets or their retransmission). The routing protocol observes real network parameters and real network environments. As a result of artificial logic intelligence, the proposed routing protocol should maximize usage of network resources and optimize network performance.
Keywords: artificial intelligence; Hopfield neural network; MANET; multicriteria optimization; routing protocol; wireless mesh network
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MDPI and ACS Style

Kojić, N.; Reljin, I.; Reljin, B. A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks. Sensors 2012, 12, 7548-7575.

AMA Style

Kojić N, Reljin I, Reljin B. A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks. Sensors. 2012; 12(6):7548-7575.

Chicago/Turabian Style

Kojić, Nenad; Reljin, Irini; Reljin, Branimir. 2012. "A Neural Networks-Based Hybrid Routing Protocol for Wireless Mesh Networks." Sensors 12, no. 6: 7548-7575.

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