DocumentCode
1930005
Title
Augmentation of Directional and Sector Antenna Support in NS2
Author
Ahmed, N. ; Ahmed, Z.I. ; Saikia, S.I. ; Hussain, I.
Author_Institution
Dept. of Inf. Technol., North-Eastern Hill Univ., Shillong, India
fYear
2015
fDate
12-13 Jan. 2015
Firstpage
68
Lastpage
73
Abstract
Last two decades have witnessed a huge deployment of telecommunication infrastructure in order to enhance a wide range of social, political and economic factors. Unfortunately, a little effort put in setting up these vital infrastructures in the rural areas, especially of developing countries has resulted in marginalization. A viable solution to this problem is to use low cost and easily deployable WiFi-based Long Distance (WiLD) networks in extending Internet connectivity to the rural underserved areas. To cover larger areas point-to-point and point-to-multipoint links set up with directional and sector antennas respectively are commonly used. To study network protocols, open source Network Simulator 2 (NS2) is widely used in networking research. However, NS2 does not have any support for directional and sector antenna simulation. In this paper, we augment directional and sector antenna support in NS2.34. Four grid parabolic directional antenna models viz., AP240024, AP240027, AP240030, and AP240032 are added for simulating long distance point-to-point links. Various experiments conducted over the long distance simulated links validate the claims of the paper.
Keywords
Internet; directive antennas; protocols; wireless LAN; AP240024; AP240027; AP240030; AP240032; Internet connectivity; NS2.34; WiFi-based long distance networks; WiLD networks; grid parabolic directional antenna models; network protocols; open source Network Simulator 2; point-to-multipoint links; point-to-point links; sector antenna; telecommunication infrastructure; Antenna measurements; Directional antennas; Directive antennas; Protocols; Receiving antennas; Throughput; Digital Divide; Directional Antenna; NS2; Sector Antenna; WiFi;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Networks (CINE), 2015 International Conference on
Conference_Location
Bhubaneshwar
ISSN
2375-5822
Print_ISBN
978-1-4799-7548-8
Type
conf
DOI
10.1109/CINE.2015.23
Filename
7053806
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