A cost-based model for service discovery in smart environments

This work proposes a novel algorithm for the service discovery [1, 2, 3] based on energy costs, in order to minimize the cost of accessing the services. We introduced the energy distance as the driving metric for the selection of the most energy efficient service, which is defined as the overall amount of energy consumed by all the devices involved in the service access. To this purpose we first propose a model for the ser- vice discovery in the Smart Environments [4](SE), then we propose the Cost-Based Discovery Algorithm (CoDA), which implements a strategy for the service selection minimizing the energy distance. CoDA has been evaluated in an experimental SE and compared with a different algorithm.