DocumentCode
3560728
Title
Clustering and cluster-based routing protocol for delay-tolerant mobile networks
Author
Dang, Ha ; Wu, Hongyi
Author_Institution
Center for Adv. Comput. Studies (CACS), Univ. of Louisiana at Lafayette, Lafayette, LA, USA
Volume
9
Issue
6
fYear
2010
fDate
6/1/2010 12:00:00 AM
Firstpage
1874
Lastpage
1881
Abstract
This research investigates distributed clustering scheme and proposes a cluster-based routing protocol for Delay-Tolerant Mobile Networks (DTMNs). The basic idea is to distributively group mobile nodes with similar mobility pattern into a cluster, which can then interchangeably share their resources (such as buffer space) for overhead reduction and load balancing, aiming to achieve efficient and scalable routing in DTMN. Due to the lack of continuous communications among mobile nodes and possible errors in the estimation of nodal contact probability, convergence and stability become major challenges in distributed clustering in DTMN. To this end, an exponentially weighted moving average (EWMA) scheme is employed for on-line updating nodal contact probability, with its mean proven to converge to the true contact probability. Based on nodal contact probabilities, a set of functions including Sync(), Leave(), and Join() are devised for cluster formation and gateway selection. Finally, the gateway nodes exchange network information and perform routing. Extensive simulations are carried out to evaluate the effectiveness and efficiency of the proposed cluster-based routing protocol. The simulation results show that it achieves higher delivery ratio and significantly lower overhead and end-to-end delay compared with its non-clustering counterpart.
Keywords
mobile radio; probability; radio networks; routing protocols; telecommunication network routing; DTMN routing; EWMA scheme; cluster-based routing protocol; delay-tolerant mobile networks; exponentially weighted moving average; gateway nodes exchange network information; load balancing; mobile nodes; mobility pattern; nodal contact probability estimation; true contact probability; Clustering algorithms; Computer science; Disruption tolerant networking; Load management; Mobile ad hoc networks; Mobile communication; Peer to peer computing; Routing protocols; Scalability; Wireless sensor networks; Clustering, delay-tolerant networks, routing;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
Conference_Location
6/1/2010 12:00:00 AM
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2010.06.081216
Filename
5475332
Link To Document