Title :
Towards Energy Efficient Design of Multi-radio Platforms for Wireless Sensor Networks
Author :
Lymberopoulos, Dimitrios ; Priyantha, Nissanka B. ; Goraczko, Michel ; Zhao, Feng
Author_Institution :
Yale Univ., New Haven, CT
Abstract :
We study the problem of concurrently supporting multiple radios with different capabilities and interfaces on a single sensor node platform. Through a detailed experimental study on hardware multi-radio platforms, using the two representative radio technologies 802.15.4 and 802.11, we identify bottlenecks and design tradeoffs that are usually overlooked and that, as we show, have a significant impact on the sensor network´s performance and energy efficiency. Our findings are threefold. We show that a proper pairing of processor and radio is crucial for taking the full advantage of the energy efficiency of higher bandwidth radios. The processor/radio pairing affects the energy balance of a sensor node, thus making the design of dynamic switching among multiple radios more challenging. Second, we demonstrate and quantify the impact of network traffic on energy consumption of a sensor node while varying network parameters, and illustrate the deficiency of existing energy-optimizing protocols. Our results indicate that by properly adjusting network parameters, such as packet size and transmission period, energy savings of up to 50% can be achieved under heavy network traffic conditions when a CSMA-based MAC is used. We conclude by presenting a set of guidelines for designing and implementing energy efficient multi-radio platforms.
Keywords :
telecommunication traffic; wireless sensor networks; 802.11; 802.15.4; CSMA-based MAC; energy balance; energy consumption; energy efficient design; energy savings; energy-optimizing protocols; multiradio platform; network traffic; processor-radio pairing; wireless sensor network; Bandwidth; Batteries; Costs; Energy consumption; Energy dissipation; Energy efficiency; Hardware; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks;
Conference_Titel :
Information Processing in Sensor Networks, 2008. IPSN '08. International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-0-7695-3157-1
DOI :
10.1109/IPSN.2008.51