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Throughput Analysis in an Infrastructure-based Mesh Network using BeeHive Algorithm

Kiran K., Vaishnavi K., P. Deepa Shenoy, Venugopal K. R.. Published in Algorithms

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Kiran K., Vaishnavi K., P. Deepa Shenoy, Venugopal K. R.
10.5120/ijais2017451659
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  1. Kiran K., Vaishnavi K., Deepa P Shenoy and Venugopal K R.. Throughput Analysis in an Infrastructure-based Mesh Network using BeeHive Algorithm. International Journal of Applied Information Systems 11(11):1-9, March 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451659,
    	author = "Kiran K. and Vaishnavi K. and P. Deepa Shenoy and Venugopal K. R.",
    	title = "Throughput Analysis in an Infrastructure-based Mesh Network using BeeHive Algorithm",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "March 2017",
    	volume = 11,
    	number = 11,
    	month = "Mar",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "1-9",
    	url = "http://www.ijais.org/archives/volume11/number11/968-2017451659",
    	doi = "10.5120/ijais2017451659",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

WiMAX andWiFi are among the major wireless technologies escalating today. Both these technologies provide last mile connectivity and differ in their Media Access Control (MAC) layer and physical (PHY) layers. Since most of the devices are equipped with WiFi, and WiMAX is prevailing in today’s devices, an efficient way of routing the data is by making use of both these technologies simultaneously. This work presents such a technique based on the Bee-hive routing algorithm for an infrastructure-based mesh network, which promotes interoperability between the WiMAX and WiFi technologies. The network consists of two types of nodes - 1)coordinator node 2)subscriber node, and divides the entire network into regions called foraging regions/zones based on the hop count from the coordinator node. A detailed implementation of this algorithm is presented in this work. The algorithm is tested for various mobile and static topologies by varying the parameters such as the speed of motion of the mobile nodes and the hop limit.

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Keywords

Coordinator Node, Foraging Region, Subscriber Node, WiFi, WiMAX