Resource - Constrained Signal Processing
نویسندگان
چکیده
T he primary design objective of computing and communication systems has been performance: the speed of signal processing, the rate of communications, and the optimization of quality of service. For wireless systems and networks deployed on a large scale and untethered to power sources, practical considerations dictate a dif ferent design regime, one that should be dominated by energy and bandwidth constraints. I f thousands of battery-powered, low-cost sensors are to be used for long-term surveil lance of areas inaccessible to humans, and if large-scale sensor networks deployed for various applications are to share the already crowded spectrum with existing wireless services, a fundamental shift in design paradigm is necessary: from focusing on performance to focusing on constraints, from maximizing data rate to maximizing resource efficiency. The set of eight articles in this special section illuminates the impact of resource constraints on the design methodologies of signal processing, communications, and networking. They offer the viewpoint that, to achieve the efficient use of the two principal resources of energy and radio spectrum, wireless systems and networks should be distributed, cooperative , and opportunistic . This is in sharp contrast with conventional approaches that rely on centralized architectures, with competing users that are limited by worst-case communication scenarios. DISTRIBUTED SIGNAL PROCESSING UNDER RESOURCE CONSTRAINTS Distributed systems allow local data processing, thus reducing the energy consumption and bandwidth requirement incurred in the communications to a fusion center. The first three articles in this special section demonstrate the advantages as well as challenges in
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