Paper Info
Title
Adaptive Neighbor Selection for Service Discovery in Mobile Ad Hoc Networks
Abstract
Service discovery to search for an available service in a mobile ad-hoc network is an important issue. Although mobile computing technologies grow ever more powerful and accessible, MANET, consisting of mobile devices without any fixed infrastructure, has such features as high mobility and resource constraints. Given these features, the costs of service discovery in mobile ad-hoc networks must be lower than those of service discovery in conventional fixed networks. In this paper, we design and evaluate a service discovery scheme to effectively discover services by using only local information in a mobile ad hoc network. Our service discovery protocol is based on the concept of peer-to-peer caching of service advertisement and node ID-based forwarding of service requests to solve these problems. Our protocol is that physical hop counts and the number of messages exchanged have been significantly reduced, since it does not require a central lookup server and does not rely on multicasting and flooding. The simulation results show that, in the proposed scheme, physical hop counts and the number of messages exchanged have been significantly reduced, compared with the other protocol.
Year
DOI
Venue
2008
10.1007/978-3-540-88140-7_2
NPC
Keywords
Field
DocType
available service,service discovery protocol,service discovery scheme,mobile ad hoc networks,mobile computing technology,service discovery,adaptive neighbor selection,service advertisement,mobile device,physical hop count,service request,mobile ad-hoc network,mobile computer,mobile ad hoc network
Mobile computing,Mobile ad hoc network,Mobile QoS,Computer science,Computer network,Adaptive quality of service multi-hop routing,Mobile database,Ad hoc wireless distribution service,Optimized Link State Routing Protocol,Service discovery,Distributed computing
Conference
Volume
ISSN
Citations 
5245
0302-9743
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Eun-Young Kang114619.36
Yongsoon Im250.90
Ungmo Kim35811.90