Upeka Premaratne, Saman Halgamuge, Iven Mareels
Journal
IEEE Transactions on Automatic Control , vol. 62(8) , pp. 4038-4044 · 2017 · Cited by 12
Network Optimization and IntelligenceAutonomous Systems and Intelligent Control
Abstract
This paper introduces a novel traffic reduction method for Networked Control Systems (NCS) called Deadband Error Modulation (DEM). The deadband modifies the periodic dynamics of Delta Modulation (DM) based techniques such as our previously proposed Event Triggered Adaptive Differential Modulation (ETADM). Like ETADM it can be used for encoding individual scalar elements of a vector (i.e., the state vector or control input). It is also robust to bounded packet drops.
Samodha Pallewatta, Poorni S Lakmali, Sandini Wijewardana, Pabasara Ranathunga, Tharaka Samarasinghe, Dileeka Dias
Conference
First International Conference on Intelligent Transport Systems , pp. 226-236 · 2017 · Cited by 5
Wireless CommunicationsAutonomous Systems and Intelligent ControlIntelligent Transportation Systems
Abstract
We present a simulation study of a cooperate car following application implemented by the Wireless Access for Vehicular Environments (WAVE) protocol stack, which uses the MAC and Physical layers defined by the IEEE 802.11p protocol. This is a simple Intelligent Transportation Systems (ITS) application which forms the foundation for autonomous driving. As with many safety-critical ITS applications, cooperate car following uses beaconing as the primary means of communication. The beacon frequency and the transmit power of the mobile nodes are considered as the key communication parameters, while the vehicle density is considered as the key traffic parameter. The two main factors affecting the performance, the end-to-end delay and the packet loss, are studied for different scenarios defined by the above parameters. Results indicate how the application performance may be improved by adapting the …
