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.

Highlights

  • Modern information society has the increasing need for Internet access, as the global network for information circulation

  • We propose a new routing metric based on artificial logic and optimal multicriteria optimization

  • We are using simulation, meaning our model was working in sequential mode which is unnatural for neural networks

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Summary

Introduction

Modern information society has the increasing need for Internet access, as the global network for information circulation. WMN defined in this way is dynamically self-organized, self-configured, self-optimizing and fault tolerant with the nodes in the network automatically establishing and maintaining mesh connectivity among themselves [12,13] All these performances clearly indicate that WMN has advantages such as low investment overhead, easy network maintenance, fast to deploy, robustness and reliable service coverage. The advantages compared to fixed wireless metropolitan area networks (WMANs) are seen in multiplied routes This comes from using mesh clients as routers, compensating for the bad performance of some space directions; bad flow or connection failures produced by obstacles (buildings, trees, etc.). The protocol should obtain adaptability in a sense of topology change, as well as adaptability of routers and links, which is quite often in WMNs. In addition to the problem of defining the optimal routing protocol, while designing the WMN, the problem of the quality of wireless transmissions has to be considered. At the end we summarize our work and give future plans in the Conclusions

Related Work
Methodology
Network Deployments
Protocol Description
Mobile Agent Technology
Artificial Neural Networks
Hopfield Neural Network
N N v j vi N
Route Computation
Results
Design Network Environment
Simulations
Packet Delivery Ratio
Throughput
End-to-End Delay
Average Hop Count
Blocking Iterations
Conclusions
Full Text
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