Large scale sensor networks are only recently emerging with alarge spectrum of applications . Distributed relaying will be shown to decrease the powerconsumption per relaying sensor node.Figure 12: Distributed relaying sensor networkfor fire detection in forests.
wireless sensor prototype byWang et al.(2005).
5Wireless Sensor NetworksSensing andProcessing UnitWirelessTransceiverAd Hoc NetworkTopologyBattlefield surveillance, disaster relief, bordercontrol, environment monitoring, … etc.
61,1xManagernode2,1x 1,2x 2,2x1,3x 2,3x• Data fusion– Feature vectors from different nodemeasurements are combined– Higher computational burden sincehigher dimensional (vector) data isjointly processed– Higher communication burden– Larger training data requirement1,1xManagernode2,1x 1,2x 2,2x1,3x 2,3x• Decision fusion– Decisions (hard or soft) based onnode measurements are combined– Lower computational burden sincelower dimensional data (scalardecisions) is jointly processed– Lower communication burden– Lower training data requirement
Two ExtremesdestinationCode and communicate all data to acentral point for processing andanalysisLocal processing and communicationbetween nodes; communicate resultto central pointdata estimatedestination
Physical LimitationsLow density network• low bandwidth/energyconsumption• low spatial resolutionHigh density network• high bandwidth/energyconsumption• high spatial resolution
KeyQuestionsHow dense should we sample ?What are the transmission rate limitationsfor a given network density ?What are the energy/power requirementsfor a given network density ?What accuracy is achievable under bandwidthand energy constraints ?
Signal + Noise Modelnoiseless field noisy sensormeasurements1. D(n): Achievable accuracy using n sensors ?2. E(n): Energy required to transmit data or estimates ?3. How do accuracy and energy scale with node density ?
MSE-EnergyAnalysishigher densityhigher resolutionmore averaginghigher densitymore datamore communication
State of the art routing protocols aredistributed and reactive : the systems startlooking for a route only when they haveapplication data to transmit We study here Ad hoc On demand DistanceVector (AODV) and Dynamic Source Routing(DSR) for the sensor network
Route DiscoveryA node sends a Route Request message to all of its neighbours.Any node receiving such a request, either answers to it or rebroadcasts it.The procedure finishes either when the request sender has received theroute information, or when the request times out. With AODV, each node remembers the next hop information associated withthe destination.The route knowledge itself is distributed in thenetwork. With DSR, the complete route is sent to the route requester. Message transmission With AODV, the message is sent to the next hop as recorded in the routingtable, and this procedure is repeated at each hop. With DSR, the message is sent with its complete route as header.
Rumor Routing "Rumor Routing Algorithm for Sensor Network"by Braginsky and Estrin How to make information available in a sensornetwork Assumption: sense particular eventt whenrequested, dont know the existence or thelocation of the event
An event sends out agents whichtravel the network from node tonode on a random path.Each visitleaves information about the eventin the nodes database.After apredefinedTTL the agent stops A requester also sends out an agent.After some time it will hopefullycome across the path of theinformation agent by checking thenodes databases. It can then travelthe backward references the firstagents left in the nodes to reach theevent.
Critical review+ Only a small number of nodes have to adopt thesame information+ Only a small number of nodes have to process therequest When or whether requested informationcan be delivered is a random process.-The failure of nodes can interrupt the path to theevent (depending on how broad it is).-The actual behavior of a node is very different fromwhat is shown in the former slides
Query Manager manages active queries query processing delivery of events andquery results toregistered, local orremote consumersIntegrity Service/Access ControlQuery ManagerStorageSensor Manager
Integrity Service/Access ControlQuery ManagerStorageSensor Manager Top layer: accesscontrol and integrityservice OS examples: TinyOS: when an eventoccurs, it calls theappropriate eventhandler to handle theevent. Others: Contiki,MANTIS, and SOS.
Create Hardware-optimized softwarecomponents (driver, operating system ) Create hardware- independent softwarecomponents (middleware, services) Combining of predefined components Source code generation Removing unused components Optimizaion of interface Optimizaion to nodes hardware Distribution of nodes in different environments Monitoring the execution Creation of logfiles Evaluation of logfilesComponentsDesign & EditComplie/LinkDistributeExecute/AdministrateEvaluationResourceHardwaredrivenMonitoringOptimization
www.themegallery.com2:Securityapplication4:MedicalApplication1: Militaryapplications3:Environmental application5:Commercial applicationLocation of combatants,vehicles and weaponson the battlefieldIt may be used to monitorpatients from a distance•Report a possibleoutbreak of fire•Detect dry areasDetect movements of the earthto predict earthquakeFacilitate stockmanagement16/24
Based on the IEEE 802.15.4 Standard Popular for WSN devices. ZigBee adds: Network topologies Interoperability with other wireless products39
TinyOS is a free and open source operating system. TinyOS is an embedded operating system written in thenesC.40
Given: Field A N sensorsHow well can the field be observed ? Closest Sensor (minimum distance) only WorstCase Coverage: Maximal Breach Path Best Case Coverage: Maximal Support Path Multiple Sensors: speed and path consideredMinimal Exposure Path
Applications of Wireless Sensor Networking:In the present era there are lot of technologies which areused for monitoring are completely based on the wirelesssensor networking. Some of important applications areenvironmental monitoring, traffic control application,weather checking, regularity checking of temperature etc.Wireless sensor networks can also be used for detectingthe presence of vehicles such as motor cycles up to trains.These are some important wireless sensor networkingbased technologies which help us in our daily life. Some ofthere daily life applications are: used in agriculture, waterlevel monitoring, green house monitoring, landfillmonitoring etc.
In studying the performance or a wireless sensornetwork, you must take into consideration thedeployment scenario which includes; topology,radio ranges, trajectory of targets and eventtraffic, and trajectories of user nodes and querytraffic. All of these affect design trade-offs, andtherefore any algorithm or protocol chosenshould be evaluated under diverse deploymentscenarios.
Sensor Network can be used in manyapplications, such as Military, Environmentaland Health…etc. Its characteristics are tiny node, low power,limited resources, dynamic network topologyand various scales of network deployment. Middleware is used to connect the networkhardware, operating systems, network stacks,and applications in different approaches. For examples,Virtual Machine, Mobile Agent,Database and Message Oriented.
Security in Sensor Networks. Public/Private Key▪ Key establishment beyond sensor network capabilities. Shared Key▪ Simple solution, but single node may reveal the secret key.▪ Scalability? → each node stores n-1 keys (n(n-1) keys need to beestablished) Solution? Privacy Aspects in Sensor Networks. Sensor technology may be used for illegal surveillance. Providing awareness of the presence of sensor nodes? Solution?
49 ISI team experimented with three iPAQ-basedvideo sender nodes and collected videobaseline of several vehicles. RTP packet dumps andVHS video tape. VT team supported BBN integratedexperiment with Sensoria 2.0 nodes. UCLA ran developmentalexperiments on sensor fieldcoverage algorithms (underSensorware project).