DocumentCode
3603600
Title
On Stochastic Analysis of Greedy Routing in Vehicular Networks
Author
Lina Zhu ; Changle Li ; Yong Wang ; Zhe Luo ; Zhe Liu ; Bingbing Li ; Xinbing Wang
Author_Institution
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´an, China
Volume
16
Issue
6
fYear
2015
Firstpage
3353
Lastpage
3366
Abstract
Even the greedy routing is widely used in wireless networks, its theoretical study is still limited in vehicle environments. In this paper, we theoretically analyze the performance of the greedy routing under three typical vehicle scenarios, i.e., the single-lane road, the multilane road, and the multilevel road. We first propose the analytical model by analyzing characteristics of traffic environments, which contain the width and multilevel features of roads. Specifically, we prove that the road-width is ignorable under certain conditions, whereas the data measured in an outdoor experiment reveal that the multilevel feature is non-ignorable because its existence dramatically degrades the transmission range. Based on the model, we analyze the routing length of the greedy routing for all scenarios in the following three aspects. 1) We derive the distribution function for the first one-hop progress. 2) We prove that routing increments are history-dependent and give one sufficient condition that ensures these increments are approximately i.i.d. 3) We calculate the routing length described by the h-hop coverage and hop count using the renewal theory. Finally, simulations are conducted to verify the accuracy of our analysis.
Keywords
mobile radio; stochastic processes; telecommunication network routing; greedy routing; h-hop coverage; hop count; multilane road; multilevel road; renewal theory; single-lane road; stochastic analysis; traffic environments; vehicle environments; vehicular networks; wireless networks; Analytical models; Distribution functions; Routing; Wireless networks; Vehicular networks; greedy routing; hop progress; stochastic analysis;
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/TITS.2015.2446771
Filename
7153561
Link To Document