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ABSTRACT
An important problem for wireless ad hoc networks has been to
design overlay networks that allow time- and energy-efficient
routing. Many local-control strategies for maintaining such overlay
networks have already been suggested, but most of them are based on
an oversimplified wireless communication model.
In this paper, we suggest a model that is much more general than
previous models. It allows the path loss of transmissions to
significantly deviate from the idealistic unit disk model and does
not even require the path loss to form a metric. Also, our model is
apparently the first proposed for algorithm design that does not
only model transmission and interference issues but also aims at
providing a realistic model for physical carrier sensing. Physical
carrier sensing is needed so that our protocols do not require
<i>any</i> prior information (not even an estimate on
the number of nodes) about the wireless network to run
efficiently.
Based on this model, we propose a local-control protocol for
establishing a constant density spanner among a set of mobile
stations (or <i>nodes</i>) that are distributed in an
arbitrary way in a 2-dimensional Euclidean space. More precisely,
we establish a backbone structure by efficiently electing cluster
leaders and gateway nodes so that there is only a constant number
of cluster leaders and gateway nodes within the transmission range
of any node and the backbone structure satisfies the properties of
a topological spanner.
Our protocol has the advantage that it is locally
self-stabilizing, i.e., it can recover from <i>any</i>
initial configuration, even if adversarial nodes participate in it,
as long as the honest nodes sufficiently far away from adversarial
nodes can in principle form a single connected component.
Furthermore, we only need constant size messages and a constant
amount of storage at the nodes, irrespective of the distribution of
the nodes. Hence, our protocols would even work in extreme
situations such as very simple wireless devices (like sensors) in a
hostile environment.
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