DocumentCode
3182303
Title
ADDER: Probabilistic, Application Layer Service Discovery for MANETs and Hybrid Wired-Wireless Networks
Author
Oikonomou, George ; Phillips, Iain ; Guan, Lin ; Grigg, Alan
Author_Institution
Comput. Sci., Loughborough Univ., Loughborough, UK
fYear
2011
fDate
2-5 May 2011
Firstpage
33
Lastpage
40
Abstract
Over the past years, Mobile ad-hoc networks (MANETs) have attracted a considerable degree of research attention, with service discovery, selection and invocation being among the topics of interest of previous efforts. In this paper we introduce ADDER, a probabilistic, hybrid, directory-less service discovery mechanism. It has been designed for military IPv6-based MANETs but will work in any hybrid wired-wireless deployment. It achieves very low service acquisition time through the exchange of a very small number of short messages. Propagation of service descriptions is based on a distance vector algorithm, achieving loop and starvation freedom through a feasibility condition, which has been adopted from established and well-tested routing protocols. This paper also presents evaluation results, obtained by actual execution of the ADDER daemon on two different test beds. The experiments aim to demonstrate that the mechanism achieves good scalability with increasing number of services and network size.
Keywords
IP networks; military communication; mobile ad hoc networks; probability; routing protocols; ADDER; MANET; application layer service discovery; distance vector algorithm; hybrid wired-wireless deployment; hybrid wired-wireless network; military IPv6; mobile ad-hoc network; probabilistic service discovery; routing protocol; service description propagation; Ad hoc networks; Adders; Mobile computing; Peer to peer computing; Probabilistic logic; Routing protocols; Hybrid Wired - Wireless Networks; MANETs; Service Discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Networks and Services Research Conference (CNSR), 2011 Ninth Annual
Conference_Location
Ottawa, ON
Print_ISBN
978-1-4577-0040-8
Electronic_ISBN
978-0-7695-4393-2
Type
conf
DOI
10.1109/CNSR.2011.14
Filename
5771189
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