Email observed Consequently the performance requirements

Email observed consequently the performance

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Email: [email protected] observed. Consequently, the performance requirements of WSN systems can span a wide range—anywhere from taking samples every few minutes (temperature sensing) to thousands of samples a second (seismic sensing, audio or video). Transmitting every sensor sample on the radio would consume all of the wireless bandwidth available to the network and quickly drain the available stored energy. Therefore, many systems employ data filtering on the node so that only interesting sensor readings are communicated over the radio. This tradeoff between communication and computation places a higher burden on energy-efficient computation. In this work, we explore the different appli- cation classes and describe system architectures that can take advantage of the event-driven and regular nature of WSN applications. New circuit techniques are aiding the quest to reduce power consumption. Some of the systems we survey remove clocking overhead by using asynchronous circuits. Others trade performance for lower power consumption by using supply voltages less than the threshold voltage. As transistor dimensions continue to shrink, leakage current increases. Some systems respond to this trend by adding architecture support for circuits that turn off the power supply of unused blocks to reduce leakage current. In Section 2 we survey the application space of wireless sensor networks and describe how architecture and circuit design decisions can be informed by the application space. J. Low Power Electronics 2008, Vol. 4, No. 1 1546-1998/2008/4/001/010 doi:10.1166/jolpe.2008.156 1
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Survey of Hardware Systems for Wireless Sensor Networks Hempstead et al. We introduce a few of the more common low-power cir- cuit techniques in Section 3. In Section 4 we present a range of hardware implementations and look closely at the differences between these systems. 2. APPLICATIONS FOR WIRELESS SENSOR NETWORKS Informed microarchitecture decisions require an understanding of the wide range of sensor network appli- cations and their requirements. In this section, we describe examples of sensor networks being deployed to solve real problems. We classify several application areas based on the amount of computation required, lifetime of nodes, and the observed phenomena. In this work we define wireless sensor networks as: “networks of autonomous, energy-constrained nodes with in-network sensing, communication, and computation.” We do not survey low-power single-node systems such as biomedical implants because these systems do not form networks and not do require nodes to relay data or per- form in-network computation. Wired networks of sensors such as systems for building automation, or large-scale city-wide sensing are not considered either, because they do not face the same energy constraints.
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  • Fall '18
  • Mr. Bhullar
  • Sensor node, Wireless sensor network

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