Diego Pizzocaro

TL;DR: This paper approaches the sensor-mission assignment problem from a Semantic Web perspective and proposes a set of ontologies describing mission tasks, sensors, and deployment platforms that are used to constrain a search for available instances of sensors and platforms that can be allocated at mission execution-time to the relevant tasks.

TL;DR: The use of Controlled English - a type of controlled natural language designed to be readable by a native English speaker whilst representing information in a structured, unambiguous form - supports the informed sharing of D2D tasks and assets between collaborating users in a coalition environment.

TL;DR: This paper considers new sensor-assignment problems motivated by frugality, i.e., the conservation of resources, for both static and dynamic settings, and gives heuristic algorithms in which available sensors propose to nearby missions as they arrive.

TL;DR: The overall performance can be significantly improved if available sensors sometimes refuse to offer utility to missions they could help, making this decision based on the value of the mission, the sensor's remaining energy, and (if known) the remaining target lifetime of the network.

TL;DR: The current implementation of the architecture for Multi-Sensor Task Allocation (MSTA) consists of a prototype interface for task submission, and a simulated sensor network serving other mobile users on the field competing for the same sensing resources.