Trust-based Data Management in Mobile Ad Hoc Networks
Tuesday, July 8, 2008, 10:30am - Tuesday, July 8, 2008, 12:30pm
325b ITE
The problem of data management has been studied widely in the field
of mobile ad-hoc networks and pervasive computing. An issue is that
finding the required data depends on chance encounter with the
source of data. Most existing research take the semantics of data
into account while caching data onto mobile devices from the wired
sources. In this work, we propose that the mobile devices decide
what to cache based on the queries they encounter. The scheme
involves a distributed technique for estimating the global query
distribution in the network. The devices proactively increase the
availability of popular data in the network. They use their estimate
of query frequencies to push popular data and to guide their caching
decisions. We also address the issue of data tampering in MANETs.
The answers obtained from peer devices may not be reliable. This
propagation of incorrect data may be either intentional or out of
ignorance. We propose a Bayesian approach to infer the correct
answer. The suggested answers and the reputation values of the
sources themselves are used to determine the most likely answer. We
implement these techniques in the network simulator, Glomosim and
show that our scheme improves data availability, response latency
and data accuracy