Performance evaluation of best route and broadcast strategy for NDN producer’s mobility
Named Data Networking is a novel concept mainly for the future Internet infrastructure that is centered on routable named data. The NDN infrastructure comprises of a new constituent known as the strategy layer. The layer give access for automatic selection of network routes by considering networ...
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Blue Eyes Intelligence Engineering and Sciences Publication
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iium-760642020-01-09T12:32:37Z http://irep.iium.edu.my/76064/ Performance evaluation of best route and broadcast strategy for NDN producer’s mobility Ahmed, Muhammed Zaharadeen Hassan Abdalla Hashim, Aisha Hassan, Afaf Mirghani Khalifa, Othman Omran Alkali, Abdulkadir Hamidu Ahmed, Abubakar Modibbo TK7885 Computer engineering Named Data Networking is a novel concept mainly for the future Internet infrastructure that is centered on routable named data. The NDN infrastructure comprises of a new constituent known as the strategy layer. The layer give access for automatic selection of network routes by considering network pre-conditions such as delay in Interest messages forwarding via a producer. However, expressing appropriate pre-condition in selecting the best possible routes to forward Interest messages remains a challenging factor in NDN, because various parameters and conditions opposes one another when selecting best routes. Besides, it is possible for data in NDN to be retrieved from several sources. Yet, so far preceding research on forwarding strategy techniques that can calculate, from which route accurate NDN data contents content are realized does not regard a network attacker trying to transmit invalid data contents containing same name as accurate data. Therefore, this paper evaluate performance of forwarding strategy using analytical and simulation, and that can be compatible to related network applications such as voice. In analytical, we exploit the use of distribution function for consistency. These are the Probability Density Function (PDF) and Cumulative Distribution Function (CDF). In simulation, each application require its own form of forwarding policy using best route and broadcast. These were exploited to evaluate the total delay in a given interval from 10 through 50 seconds for five times. Similarly in our evaluation, a largescale ring topology was use in the simulation consisting of 30 nodes and 48 links. Link bandwidth is configured as 1Mbps. Numbers of content consumer/producer starts from 1 to 18 so as to achieve our simulations. Both consumers and producers were randomly selected in term of unique content request on the access network. ndnSIM 2.1 is used in simulating the scenarios for several time intervals. Performance results presents best route policy carries significant delay when compared with broadcast policy. Also, in our result, Delay metric is half the value obtained during analytical and simulation processes for NDN producer’s best route and broadcast using CDF, as compared to the value realized in our benchmark paper for NDN consumer. Blue Eyes Intelligence Engineering and Sciences Publication 2019-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/76064/1/Performance%20Evaluation%20of%20Best%20Route%20and%20Broadcast.pdf application/pdf en http://irep.iium.edu.my/76064/7/76064_Performance%20evaluation%20of%20best%20route_scopus.pdf Ahmed, Muhammed Zaharadeen and Hassan Abdalla Hashim, Aisha and Hassan, Afaf Mirghani and Khalifa, Othman Omran and Alkali, Abdulkadir Hamidu and Ahmed, Abubakar Modibbo (2019) Performance evaluation of best route and broadcast strategy for NDN producer’s mobility. International Journal of Engineering and Advanced Technology (IJEAT), 9 (1). pp. 3671-3677. ISSN 2249 – 8958 https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2712109119.pdf 10.35940/ijeat.A2712.109119 |
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TK7885 Computer engineering |
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TK7885 Computer engineering Ahmed, Muhammed Zaharadeen Hassan Abdalla Hashim, Aisha Hassan, Afaf Mirghani Khalifa, Othman Omran Alkali, Abdulkadir Hamidu Ahmed, Abubakar Modibbo Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
description |
Named Data Networking is a novel concept mainly
for the future Internet infrastructure that is centered on routable
named data. The NDN infrastructure comprises of a new
constituent known as the strategy layer. The layer give access for
automatic selection of network routes by considering network
pre-conditions such as delay in Interest messages forwarding via
a producer. However, expressing appropriate pre-condition in
selecting the best possible routes to forward Interest messages
remains a challenging factor in NDN, because various
parameters and conditions opposes one another when selecting
best routes. Besides, it is possible for data in NDN to be retrieved
from several sources. Yet, so far preceding research on
forwarding strategy techniques that can calculate, from which
route accurate NDN data contents content are realized does not
regard a network attacker trying to transmit invalid data contents
containing same name as accurate data. Therefore, this paper
evaluate performance of forwarding strategy using analytical and
simulation, and that can be compatible to related network
applications such as voice. In analytical, we exploit the use of
distribution function for consistency. These are the Probability
Density Function (PDF) and Cumulative Distribution Function
(CDF). In simulation, each application require its own form of
forwarding policy using best route and broadcast. These were
exploited to evaluate the total delay in a given interval from 10
through 50 seconds for five times. Similarly in our evaluation, a
largescale ring topology was use in the simulation consisting of
30 nodes and 48 links. Link bandwidth is configured as 1Mbps.
Numbers of content consumer/producer starts from 1 to 18 so as
to achieve our simulations. Both consumers and producers were
randomly selected in term of unique content request on the
access network. ndnSIM 2.1 is used in simulating the scenarios
for several time intervals. Performance results presents best route
policy carries significant delay when compared with broadcast
policy. Also, in our result, Delay metric is half the value obtained
during analytical and simulation processes for NDN producer’s
best route and broadcast using CDF, as compared to the value
realized in our benchmark paper for NDN consumer. |
format |
Article |
author |
Ahmed, Muhammed Zaharadeen Hassan Abdalla Hashim, Aisha Hassan, Afaf Mirghani Khalifa, Othman Omran Alkali, Abdulkadir Hamidu Ahmed, Abubakar Modibbo |
author_facet |
Ahmed, Muhammed Zaharadeen Hassan Abdalla Hashim, Aisha Hassan, Afaf Mirghani Khalifa, Othman Omran Alkali, Abdulkadir Hamidu Ahmed, Abubakar Modibbo |
author_sort |
Ahmed, Muhammed Zaharadeen |
title |
Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
title_short |
Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
title_full |
Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
title_fullStr |
Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
title_full_unstemmed |
Performance evaluation of best route and broadcast strategy for NDN producer’s mobility |
title_sort |
performance evaluation of best route and broadcast strategy for ndn producer’s mobility |
publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
publishDate |
2019 |
url |
http://irep.iium.edu.my/76064/ http://irep.iium.edu.my/76064/ http://irep.iium.edu.my/76064/ http://irep.iium.edu.my/76064/1/Performance%20Evaluation%20of%20Best%20Route%20and%20Broadcast.pdf http://irep.iium.edu.my/76064/7/76064_Performance%20evaluation%20of%20best%20route_scopus.pdf |
first_indexed |
2023-09-18T21:47:33Z |
last_indexed |
2023-09-18T21:47:33Z |
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