An architecture for wireless simulation in NS-2 applied to impulse-radio ultra-wide band networks
SpringSim '07 Proceedings of the 2007 spring simulaiton multiconference - Volume 1
A MAC protocol for low-rate UWB wireless sensor networks using directional antennas
Computer Networks: The International Journal of Computer and Telecommunications Networking
A cross-layer design for congestion control in UWB-based wireless sensor networks
International Journal of Sensor Networks
Selfish retransmission protocol in an IR-UWB system
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
A directional MAC protocol with deafness avoidance for UWB wireless sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Reducing average power in wireless sensor networks through data rate adaptation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Algorithmic models for sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Location-aided medium access control for low data rate UWB wireless sensor networks
Wireless Communications & Mobile Computing
International Journal of Communication Systems
Hi-index | 0.25 |
We are interested in the design of physical-layer-aware medium access control for self-organized low-power low-data-rate impulse radio ultra-wideband (IR-.UWB) networks.. In such networks energy consumption is much more of a concern than achieved data rates. So far, a number of different solutions have been proposed in the context of data rate efficiency for IR-UWB. However, the choices made for rate-efficient designs are not necessarily optimal when considering energy efficiency. Hence, there is a need to understand the design trade-offs in very low-power networks, which is the aim of this article. To this end, we first identify what a PHY-aware MAC design has to achieve: interference management, access to a destination, and sleep cycle management. Second, we analyze how these functions can be implemented, and provide a list of the many possible building blocks that have been proposed in the literature. Third, we use this classification to analyze fundamental design choices. We propose a method for evaluating energy consumption already in the design phase of IR-UWB systems. Last, we apply this methodology and derive a set of guidelines; they can be used by system architects to orientate fundamental choices early in the design process.