Paper Info
Title
Opportunistic exploitation of knowledge to increase predictability of agent interactions in MANETs
Abstract
Mobile Ad hoc Networks (MANETs) are dynamic environments where frequent changes in the network topology due to physical mobility of hosts result in unpredictable, sporadic and transient connectivity. Due to this high level of uncertainty, only limited guarantees can be given for interactions among agents that run on the mobile hosts. This is not desirable as any interaction among agents on different hosts is susceptible to interruption. In this paper, we explore means to alleviate the level of uncertainty in a MANET by having hosts and agents share knowledge of their non-functional attributes such as location, velocity, etc. with each other. This shared knowledge can be used to compute, for example, the points in space and time when two hosts are likely to be within communication range. This information can then be provided to individual agents, making them more aware of the constraints within which they operate and thereby giving them a chance to tailor their behavior so that they are less affected by unpredictable disconnections. The contributions of this paper are a minimalist formalism for knowledge exchange, a software architecture supporting knowledge exchange, and an empirical evaluation of the benefits of exploiting knowledge to increase the predictability of interactions.
Year
DOI
Venue
2005
10.1145/1082960.1082972
ACM SIGSOFT Software Engineering Notes
Keywords
Field
DocType
software architecture,network topology,mobile ad hoc network
Shared knowledge,Mobile ad hoc network,Predictability,Physical mobility,Computer science,Network topology,Software architecture,Formalism (philosophy),Distributed computing
Journal
Volume
Issue
ISSN
30
4
0163-5948
ISBN
Citations 
PageRank 
1-59593-116-3
36
0.52
References 
Authors
6
4
Name
Order
Citations
PageRank
Rohan Sen11306.87
Gregory Hackmann256533.55
Gruia-Catalin Roman33148290.45
Christopher D. Gill478955.35