|
||||||||||||||||||||||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||||||||||||||||||||
ABSTRACT
Ad-Hoc Networks and in particular sensor networks are networks of nodes with limited battery and limited processing capacity. As such, a single node carries an incentive to limit the amount of data it contains. This leads to the expiration of the data carried by the node after a period of time, due for instance, to a re-boot after an off period in the duty cycle, or to older information being "pushed" out by new data received by the mobile node. On the other hand, some data is critical to the functioning of the whole network. For instance, the existence and position of a gateway towards the infrastructure network should be kept somewhere in the network, so that nodes are able to recover this information when needed. In this paper, we study the trade-off between the finite lifetime of a piece of information at each node, and the survival of this information indefinitely within the network. We consider a simple dissemination process for the information akin to an AODV-based information request/reply mechanism. We show that the maximum number of hops in a request is a critical parameter to ensure the survivability indefinitely of any information within the network. We identify the parameter which minimizes the load on the network, for two typical ad-hoc network topologies: a square lattice, which accurately models the distribution of the nodes in a fixed and organized ad hoc or sensor network, and a n-ary tree, which models ad hoc networks for which routing is constructed so as to have no routing loops. REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
INDEX TERMS
Primary Classification:
Additional Classification:
General Terms:
Keywords:
|
||||||||||||||||||||||||||||||||||||||||||||||||||||