- October 30, 2017
- Posted by: Jeff Kish
- Category: AI Enhanced SDR & Radio Networks News, Latest News, Radar, Communications & Sensors News
Energy efficiency is critical to mission success in communication networks involving battery-packed units, which are subject to Size, Weight, Power and Cost (SWaP-C) requirements. Reliable energy profiling of tactical radios can help determine the design space for energy-efficient solutions, enabling capabilities ranging from power control to energy-efficient routing and transmission control protocols. IAI and collaborators at the University of Maryland will develop the Energy Aware Radio Networking (EARN) system architecture, which jointly optimizes a cross-layer Medium Access Control (MAC) and Network layer (NET) protocols to increase the energy efficiency of tactical radio networks while meeting performance constraints. EARN’s energy profiler and battery management module will model energy consumption and battery usage of the radio to predict the radio’s energy level and suggest system actions to conserve battery usage. This information is provided to EARN MAC-NET cross-layer protocols that determine the routing, scheduling, and link adaptation parameters to jointly optimize throughput and energy consumption. These protocols also make per-device mode decisions on the transmit, receive, idle listens, deep sleep, and light sleep modes to achieve energy savings. The EARN package will be evaluated with extensive emulation and field tests and can be used by emerging tactical and commercial SDRs. The energy profiler and battery management module can be used as a plug-in device for legacy tactical radios and commercial handheld devices. EARN can be deployed with energy harvesting technologies in remote sensor applications, handheld wireless devices, battery-packed units, and airborne wireless nodes for commercial applications in border and coast patrol, as well as communication systems including cellular, sensor, and vehicular networks.
Approved for Public Release (Case # – 88ABW-2017-5226) Distribution Unlimited