Mobile Ad-Hoc Networks (MANETs), that do not rely on pre-existing infrastructure and that can adapt rapidly to
changes in their environment, are coming into increasingly wide use in military applications. At the same time, the large
computing power and memory available today even for small, mobile devices, allows us to build extremely large,
sophisticated and complex networks. Such networks, however, and the software controlling them are potentially
vulnerable to catastrophic failures because of their size and complexity. Biological networks have many of these same
characteristics and are potentially subject to the same problems. But in successful organisms, these biological networks
do in fact function well so that the organism can survive. In this paper, we present a MANET architecture developed
based on a feature, called homeostasis, widely observed in biological networks but not ordinarily seen in computer
networks. This feature allows the network to switch to an alternate mode of operation under stress or attack and then
return to the original mode of operation after the problem has been resolved. We explore the potential benefits such an
architecture has, principally in terms of the ability to survive radical changes in its environment using an illustrative
example.
One of the challenges in military wireless sensor networks is the determination of an information collection
infrastructure that minimizes battery power consumption while being highly resilient against sensor and link failures. In
our previous work we have proposed a heuristic for constructing an information flow graph in wireless sensor networks
based on the mammalian circulatory system, with the goal of minimizing the energy consumption. In this paper we
focus mainly on the resilience benefits that can be achieved when constructing such information flow graphs. We
analyze the resilience of circulatory graphs constructed on top of regular as well as random topologies. We assume two
modes of failure, random and targeted attacks, and we compare the resilience of the circulatory graphs against tree
graphs.
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