Energy Trade-Offs in Resource-Constrained Multi-Agent Systems

Sensor networks and mobile ad hoc networks are two types of open system with resource constraints, in which functionality may be compromised by a lack of resources. In this work, we investigate adaptive algorithms for power-challenged computing networks. Using simulations, we have studied how self-organization can be used to trade off energy for (acceptable) accuracy to improve longevity in a sensor network; and how perceived threat and information sensitivity can be used to trade-off energy for (acceptable) security risk in an ad hoc network.