No abstract

No abstract

No abstract

Vehicular Ad-hoc Networks (VANETs) will be an integral part of future Intelligent Transportation Systems (ITS). In highway settings where electrical power connections may not be available, road-side infrastructure will often be powered by renewable energy sources, such as solar power. For this reason, energy efficient designs are desirable.This thesis considers the problem of energy efficient downlink scheduling for roadside infrastructure. In the first part of the thesis, the constant bit rate (CBR) air interface case is investigated. Packet-based and timeslot-based scheduling models for the theoretical minimum energy bound are considered. Timeslot-based scheduling is then formulated as a Mixed Integer Linear Program (MILP). Following this, three energy efficient online scheduling algorithms with varying complexity are introduced. Results from a variety of experiments show that the proposed scheduling algorithms perform well when compared to the energy lower bounds.In the second part of the thesis, the variable bit rate (VBR) air interface option is consid-

No abstract