Shared ride trip planning with geosensor networks

Abstract

We propose and investigate a model for shared ride trip planning in ad-hoc mobile geosensor networks. Our focus is on the communication strategies between the network nodes. In a dynamically changing network of autonomous nodes all trip plans and provisions need to be kept up-to-date. At the same time, energy consumption by broadcasting messages needs to be minimized. Hence, we have to solve an optimization problem: find an efficient communication strategy that still guarantees planning of acceptable trips in a continuously changing environment.

Sensor-Driven, Spatially Explicit Agent-Based Models

“…In particular, miniaturisation of the sensors, improvement in computational power and developments in telecommunication have led to the growth of robust sensor web networks that can be adopted to address questions in various spatial domains. Importantly, the growth of geosensor networks has made it possible for sensors to capture not only the geographic locations of entities but also the behavioural characteristics of such entities [80,81]. For example, there are sensors that can capture both the location and multidimensional acceleration of animals, hence revealing their energy use during different activities [82].…”