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This chapter delves into the enormous challenges of detecting, monitoring, and collecting data in Wireless Sensor Networks (WSNs), along with discussions on communication protocols, QoS, power management, and network standards. The chapter also covers topics such as sensor fusion, signal processing, and decision-making issues.
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Chapter 2 Wireless Sensor Networks
Smart Environments--- • Huge challenge • Detect, monitor, collect data • Asses & evaluate data • Formulate displays; make decisions • Need information –internal, external • Wireless Sensor Nets provide a possible solution
Wireless Sensor Nets • Chapter includes large amount of networking information • Communication NW • Wireless Sensor nets • Smart Sensors • More….. • We will do an overview
Network Communication • Quantity & Quality of Service (QoS) • Thruput & delays, time, loss, errors, power consumption • Topologies • Star, ring, bus • Mesh, tree • Fully connected
Communication Protocols & Routing • Message header • Source, destination, etc. • Switching • Store--&--forward - buffer • Virtual cut through – header goes on • Worm hole – split message • Multiple access protocols – multiple nodes • Avoid collisions & lost data • Network Layers – 7 - OSI/RM • Open Systems Interconnection Reference Model
Routing • Path from source to destination • Performance: QoS • throughput; average packet delay • Routing methods • Fixed • Adaptive • Minimum cost -- shortest path
Routing • Deadlock: all nodes waiting, buffer full • Live lock: message continuously transmitted & never teaches destination • Flow control • Queues & buffers • To protect network from overload & speed mismatches; maintain QoS; freedom from deadlock
Power Management • How do we power remote networks? • How do you “replace batteries”? • What is lifetime of a nw? • How can we conserve power? • MEMS (microelectromechanical systems) are under development
Power Management • RFID -- radio frequency identification • Passive: no power source • Active: battery • Example: toll collection • Distance • RFID – ~25 feet • Power required for transmission increases as square of distance • Short hops vs. long distance
History of Network Standards • Ethernet: mid 1970's, standardized 1979 • IEEE 802.3 • Official IEEE Ethernet standard--1983 • Fast Ethernet (10x) -- 1995 • Token Ring -- 1984 • IEEE standard -- 802.5 • High cost • ANSI Fiber optic standard--mid 1980's • Higher speed
History of Network Standards 3. Gigabit Ethernet -- 1996 • GE standards -- 1999 • Supports (development of) • Client-server networks • Peer-to-Peer networks • All have equal authority • Peer-to-Peer computing (P2P) • Tasks are divided
History of Network Standards 4. Wireless LAN (WLAN) -- 1997 • IEEE 802.11 standard • WiFi 802.11b • Bluetooth -- WPAN -- IEEE 802.15 • Short range RF
Wireless Sensor Network • Key to gathering information for smart environments • Easy & fast installation • IEEE 1451 standards (1993) • Compatibility among manufacturers
Sensors • Sensor: responds to signal (passive) • Smart Sensor: provides extra functions beyond those necessary for generating accurate representation of the sensed quantity • Virtual Sensor: physical sensor/transducer plus the associated signal conditionery & DSP required to obtain reliable estimates of the required sensory information (component of Smart Sensor) Omit section 2.3.2
Self-Organization • Deployment: by ships or aircraft • Communication: wake-up, detect each, form communication network • Positioning • Relative: distributed signal processing • Absolute: reporting data related to detected target
Relative Positioningaka Localization • For internode communication • Measure distances • Relatively Calibrated • Relative positions of all nodes in network are known
Absolute Geographic Positioning • (Fully) Calibrated • Absolute (actual) position of each node is known • How? GPS, landmarks, beacons, etc. • At least 3 nodes in nw must know their location
Ultra Wideband Radio -- WWB • Good for distributed sensor nets • Short range • Penetrates walls • Time-of-flight properties (distance) • Down to 1 cm • Range 40 meters • Very small
Signal Processing/Decision Making Issues • SC -- Signal Conditioning • Noise, low amplitude, biased due to other factors such as temperature • Solutions: temperature, compensation, low-pass filtering
Digital Signal Processing --DSP Sensor fusion: combining readings from many different types of sensors (e.g. seismic, acoustic, temperature) Kalman Filter: a DSP tool used to combine information from multiple sensors • Example: space program -- moon, distant probes • Reconstructs (estimates) full internal state of a system from a few measured outputs
LabView • A software product from National Instruments • Popular, powerful, easy to use • Provides • Advanced DSP • Intelligent user interfaces (pg. 43) • Decision assistance • Alarm function