Validation of Fuzzy-Based Routing Algorithm for DTN

2014 ◽  
Vol 644-650 ◽  
pp. 1931-1934
Author(s):  
Fan Yang ◽  
Jia Zhe Lai ◽  
Ming Zhe Li
Keyword(s):  
Routing Algorithm ◽  
Simulation Software ◽  
Delay Tolerant Network ◽  
Research Issue ◽  
Network Environment ◽  
Opportunistic Network ◽  
Dtn Routing ◽  
Delay Tolerant ◽  
Spray And Wait

In the research of Delay Tolerant Network (DTN), DTN routing algorithm is a key research issue. The performance of a non-flooding routing algorithm is verified in our paper. The verified algorithm is an Adaptive Priority Routing Algorithm (APRA) which is based on fuzzy strategies. Firstly, we introduce the principle of APRA, then using Opportunistic Network Environment (ONE) -simulation software to compare the performance of Epidemic algorithm, Spray and Wait algorithm, PRoPHET algorithm and APRA. By comparing overhead of netword, rate of messages delivered and average dealy, it finds that the APRA performs better. At last, the weaknesses of this paper and further improvement are also discussed.

A comparative study on delay-tolerant network routing protocols

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M. Angulakshmi ◽  
M. Deepa ◽  
M. Vanitha ◽  
R. Mangayarkarasi ◽  
I. Nagarajan
Keyword(s):  
Routing Protocols ◽  
Delay Tolerant Network ◽  
Delivery Rate ◽  
Low Latency ◽  
Network Environment ◽  
Opportunistic Network ◽  
Content Type ◽  
Dtn Routing ◽  
Delay Tolerant ◽  
Spray And Wait

PurposeIn this study, we discuss three DTN routing protocols, these are epidemic, PRoPHET and spray and wait routing protocols. A special simulator will be used; that is opportunistic network environment (ONE) to create a network environment. Spray and wait has highest delivery rate and low latency in most of the cases. Hence, spray and wait have better performance than others. This analysis of the performance of DTN protocols helps the researcher to learn better of these protocols in the different environment.Design/methodology/approachDelay-Tolerant Network (DTN) is a network designed to operate effectively over extreme distances, such as those encountered in space communications or on an interplanetary scale. In such an environment, nodes are occasional communication and are available among hubs, and determinations of the next node communications are not confirmed. In such network environment, the packet can be transferred by searching current efficient route available for a particular node. Due to the uncertainty of packet transfer route, DTN is affected by a variety of factors such as packet size, communication cost, node activity, etc.FindingsSpray and wait have highest delivery rate and low latency in most of the cases. Hence, spray and wait have better performance than others.Originality/valueThe primary goal of the paper is to extend these works in an attempt to offer a better understanding of the behavior of different DTN routing protocols with delivery probability, latency and overhead ratio that depend on various amounts of network parameters such as buffer size, number of nodes, movement ratio, time to live, movement range, transmission range and message generation rate. In this study, we discuss three DTN routing protocols: these are epidemic, PRoPHET and spray and wait routing protocols. A special simulator will be used; that is opportunistic network environment (ONE) to create a network environment. Spray and wait have highest delivery rate and low latency in most of the cases. Hence, spray and wait have better performance than others. This analysis of the performance of DTN protocols helps the researcher to learn better of these protocols in the different environment.

scholarly journals An Adaptive Spray and Wait Routing Algorithm Based on Quality of Node in Delay Tolerant Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 35274-35286 ◽  
Author(s):  
Jianqun Cui ◽  
Shuqin Cao ◽  
Yanan Chang ◽  
Libing Wu ◽  
Dan Liu ◽  
...  
Keyword(s):  
Routing Algorithm ◽  
Delay Tolerant Network ◽  
Delay Tolerant ◽  
Spray And Wait

scholarly journals Delay Tolerant Network and the Algorithms of DTN Routing

2019 ◽  
Vol 1169 ◽  
pp. 012058 ◽  
Author(s):  
Jie Zhang ◽  
Gang Wang ◽  
Chen Liu ◽  
Fangzheng Zhao ◽  
Xin Zhang
Keyword(s):  
Delay Tolerant Network ◽  
Dtn Routing ◽  
Delay Tolerant

scholarly journals A Framework and Mathematical Modeling for the Vehicular Delay Tolerant Network Routing

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Mostofa Kamal Nasir ◽  
Rafidah Md. Noor ◽  
Mohsin Iftikhar ◽  
Muhammad Imran ◽  
Ainuddin Wahid Abdul Wahab ◽  
...  
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Network Routing ◽  
Packet Delivery Ratio ◽  
Packet Transmission ◽  
Delay Tolerant Network ◽  
Delivery Ratio ◽  
Intermediate Node ◽  
Packet Delivery ◽  
Dtn Routing ◽  
Delay Tolerant

Vehicular ad hoc networks (VANETs) are getting growing interest as they are expected to play crucial role in making safer, smarter, and more efficient transportation networks. Due to unique characteristics such as sparse topology and intermittent connectivity, Delay Tolerant Network (DTN) routing in VANET becomes an inherent choice and is challenging. However, most of the existing DTN protocols do not accurately discover potential neighbors and, hence, appropriate intermediate nodes for packet transmission. Moreover, these protocols cause unnecessary overhead due to excessive beacon messages. To cope with these challenges, this paper presents a novel framework and an Adaptive Geographical DTN Routing (AGDR) for vehicular DTNs. AGDR exploits node position, current direction, speed, and the predicted direction to carefully select an appropriate intermediate node. Direction indicator light is employed to accurately predict the vehicle future direction so that the forwarding node can relay packets to the desired destination. Simulation experiments confirm the performance supremacy of AGDR compared to contemporary schemes in terms of packet delivery ratio, overhead, and end-to-end delay. Simulation results demonstrate that AGDR improves the packet delivery ratio (5–7%), reduces the overhead (1–5%), and decreases the delay (up to 0.02 ms). Therefore, AGDR improves route stability by reducing the frequency of route failures.

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