|
creator |
Rothermel, Kurt
| | Becker, Christian
| | Hähner, Jörg
| date |
2002-07
| | | description |
23 pages
| |
Applications of mobile ad hoc networks (MANETs) occur in situations,
where networks need to be deployed immediately but network
infrastructures are not available. If MANET nodes have sensing
capabilities, they can capture and communicate state of their
surroundings, including environmental conditions or other nodes in
proximity. If the sensed state information is propagated and
collected in a database, this allows for a variety of promising
automatic monitoring, tracking and navigation applications, using
global state information to built up models of reality. Since state
changes represent events happening in reality, applications are
typically interested to see the most recent state. Also the order of
state changes should be consistent with the corresponding order of
events in reality. In particular, preserving consistency becomes a
challenging research problem if there are multiple nodes sensing the
same object, either subsequently or even concurrently. In this
paper, we introduce a generic model of state propagation in MANETs
and propose two consistency levels for this model. For each of these
consistency levels, we define a state propagation algorithm based on
information diffusion. Our simulations show, that for typical
scenarios the additional synchronization overhead for achieving the
proposed consistency levels is low. In terms of communication
overhead and state propagation latency one of the proposed
algorithms shows a similar performance as the underlying flooding
mechanism.
| format |
application/pdf
| | 216051 Bytes | |