Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14838
Title: Contact expectation based routing for delay tolerant networks
Authors: Chen, H
Lou, W 
Keywords: Buffer management
Community aware
Delay tolerant networks
Expected encounter
Routing protocols
Issue Date: 2015
Publisher: Elsevier
Source: Ad hoc networks, 2015 How to cite?
Journal: Ad Hoc Networks 
Abstract: In conventional networks, routing problem can be modeled as the design of an efficient source-to-destination route based on persistent end-to-end paths. However, in a delay tolerant network (DTN), nodes are intermittently connected and thus, the end-to-end paths will not always exist, in which routing is a challenging issue. Previous DTN routing protocols tend to make routing decision based on the nodes' contact information. In this paper, we observe that considering both the nodes' contact information and message property such as the time-to-live (TTL) would help to improve the performance. Embedded this idea, we first propose an expected encounter based routing protocol (EER) which distributes multiple replicas of a message proportionally between two encounters according to their expected encounter values. In case of a single replica of a message, EER makes the routing decision by comparing two encountering nodes' minimum expected meeting delays to destination. We further propose a community aware routing protocol (CAR) which takes advantages of the high contact frequency property of the nodes within the same community. We also propose the buffer management strategies corresponding for the two protocols. We conduct simulations to evaluate our proposed protocols and some existing ones on three metrics: delivery ratio, latency and goodput. The simulation results illustrate that our proposed EER and CAR protocols outperform other existing ones.
URI: http://hdl.handle.net/10397/14838
ISSN: 1570-8705
DOI: 10.1016/j.adhoc.2015.07.017
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Last Week
0
Last month
0
Citations as of Nov 10, 2017

WEB OF SCIENCETM
Citations

7
Last Week
1
Last month
0
Citations as of Nov 16, 2017

Page view(s)

44
Last Week
1
Last month
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.