Outline. Application examples. Infrastructure-based limits? Infrastructure-based wireless networks. Possible applications



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Outline TDDI13 Distributed embedded software and networks Infrastructure for wireless (Mobile) ad hoc networks Wireless sensor networks Comparison of mobile nets and WSN WSN Enabling technology 36 pages 2of 36 Infrastructure-based wireless networks Infrastructure-based limits? Typical wireless network: Based on infrastructure E.g., GSM, UMTS, Base stations connected to a wired backbone network Mobile entities communicate wirelessly to these base stations Traffic between different mobile entities is relayed by base stations and wired backbone Mobility is supported by switching from one base station to another Backbone infrastructure required for administrative tasks Further networks Gateways IP backbone What if No infrastructure is available? E.g., in disaster areas It is too expensive/inconvenient to set up? E.g., in remote, large construction sites There is no time to set it up? E.g., in military operations Server Router 3of 36 4of 36 Factory floor automation Possible applications Disaster recovery Car-to-car communication ad hoc Solution: (Wireless) ad hoc networks Try to construct a network without infrastructure, using networking abilities of the participants This is an ad hoc network a network constructed for a special purpose Simplest example: Laptops in a conference room a single-hop ad hoc network Military networking: Tanks, soldiers, Finding out empty parking lots in a city, without asking a server Search-and-rescue in an avalanche Personal area networking (watch, glasses, PDA, medical appliance, ) 5of 36 6of 36

Mesh networks Problems/challenges for ad hoc RoofNet How to organize a network of rooftop 802.11 nodes to provide Internet connectivity to a large community? Without a central infrastructure, things become much more difficult Problems are due to Limited range of wireless communication Mobility of participants Battery-operated entities Lack of central entity for organization available Medium access control no base station can assign transmission resources, must be decided in a distributed fashion Finding a route from one participant to another 7of 36 8of 36 Wireless sensor networks WSN application examples Participants in the previous examples were devices close to a human user, interacting with humans Alternative concept: Instead of focusing interaction on humans, focus on interacting with environment Network is embedded in environment Nodes in the network are equipped with sensing and actuation to measure/influence environment Nodes process information and communicate it wirelessly! Wireless sensor networks (WSN) Or: Wireless sensor & actuator networks (WSAN) Disaster relief operations Drop sensor nodes from an aircraft over a wildfire Each node measures temperature Derive a temperature map Biodiversity mapping Use sensor nodes to observe wildlife Intelligent buildings (or bridges) Reduce energy wastage by proper humidity, ventilation, air conditioning (HVAC) control Needs measurements about room occupancy, temperature, air flow, Monitor mechanical stress after earthquakes 9of 36 10 of 36 WSN application scenarios WSN application scenarios Facility management Intrusion detection into industrial sites Control of leakages in chemical plants, Machine surveillance and preventive maintenance Embed sensing/control functions into places no cable has gone before E.g., tire pressure monitoring Precision agriculture Bring out fertilizer/pesticides/irrigation only where needed Medicine and health care Post-operative or intensive care Long-term surveillance of chronically ill patients or the elderly Logistics Equip goods (parcels, containers) with a sensor node Track their whereabouts total asset management Note: passive readout might suffice compare RF IDs Telematics Provide better traffic control by obtaining finer-grained information about traffic conditions Intelligent roadside Cars as the sensor nodes 11 of 36 12 of 36

The Pluto Mote Medical example [from Matt Welsh, Harward] [from Matt Welsh, Harward] 13 of 36 Medical example [from L. Guibas, Stanford] 14 of 36 Habitat monitoring [from Matt Welsh, Harward] 15 of 36 Seismic monitoring Seismic monitoring 17 of 36 16 of 36 28 seismometers in building 100 free-field seismometers in campus 18 of 36

Contaminat transmission 19 of 36 [from L. Guibas, Stanford] 20 of 36 Roles of participants in WSN Structuring WSN application types Sources of data: Measure data, report them somewhere Typically equip with different kinds of actual sensors Sinks of data: Interested in receiving data from WSN May be part of the WSN or external entity, PDA, gateway, Actuators: Control some device based on data, usually also a sink Interaction patterns between sources and sinks classify application types Event detection: Nodes locally detect events (maybe jointly with nearby neighbors), report these events to interested sinks Event classification additional option Periodic measurement Function approximation: Use sensor network to approximate a function of space and/or time (e.g., temperature map) Edge detection: Find edges (or other structures) in such a function (e.g., where is the zero degree border line?) Tracking: Report (or at least, know) position of an observed intruder ( pink elephant ) 21 of 36 22 of 36 Deployment options for WSN Maintenance options How are sensor nodes deployed in their environment? Dropped from aircraft! Random deployment Usually uniform random distribution for nodes over finite area is assumed Is that a likely proposition? Well planned, fixed! Regular deployment E.g., in preventive maintenance or similar Not necessarily geometric structure, but that is often a convenient assumption Mobile sensor nodes Can move to compensate for deployment shortcomings Can be passively moved around by some external force (wind, water) Can actively seek out interesting areas Feasible and/or practical to maintain sensor nodes? E.g., to replace batteries? Or: unattended operation? Impossible but not relevant? Mission lifetime might be very small Energy supply? Limited from point of deployment? Some form of recharging, energy scavenging from environment? E.g., solar cells 23 of 36 24 of 36

Characteristic requirements for WSNs Characteristic requirements for WSNs Type of service of WSN Not simply moving bits like another network Rather: provide answers (not just numbers) Issues like geographic scoping are natural requirements, absent from other networks Quality of service Traditional QoS metrics do not apply Still, service of WSN must be good : Right answers at the right time Fault tolerance Be robust against node failure (running out of energy, physical destruction, ) Lifetime The network should fulfill its task as long as possible definition depends on application Lifetime of individual nodes relatively unimportant But often treated equivalently Scalability Support large number of nodes Wide range of densities Vast or small number of nodes per unit area, very application-dependent Programmability Re-programming of nodes in the field might be necessary, improve flexibility Maintainability WSN has to adapt to changes, self-monitoring, adapt operation Incorporate possible additional resources, e.g., newly deployed nodes 25 of 36 26 of 36 Required mechanisms Required mechanisms Multi-hop wireless communication Energy-efficient operation Both for communication and computation, sensing, actuating Auto-configuration Manual configuration just not an option Collaboration & in-network processing Nodes in the network collaborate towards a joint goal Pre-processing data in network (as opposed to at the edge) can greatly improve efficiency Data centric networking Focusing network design on data, not on node identifies (id-centric networking) To improve efficiency Locality Do things locally (on node or among nearby neighbors) as far as possible Exploit tradeoffs E.g., between invested energy and accuracy 27 of 36 28 of 36 MANET vs. WSN MANET vs WSN cont d Many differences Applications, equipment: MANETs more powerful (read: expensive) equipment assumed, often human in the loop - type applications, higher data rates, more resources Application-specific: WSNs depend much stronger on application specifics; MANETs comparably uniform Environment interaction: core of WSN, absent in MANET Scale: WSN might be much larger (although contestable) Energy: WSN tighter requirements, maintenance issues Dependability/QoS: in WSN, individual node may be dispensable (network matters), QoS different because of different applications Data centric vs. id-centric networking Mobility: different mobility patterns like (in WSN, sinks might be mobile, usual nodes static) Many commonalities: Self-organization, energy efficiency, (often) wireless multi-hop MANETs and WSNs are challenging and promising system concepts Both require new types of architectures & protocols compared to traditional wired/wireless networks In particular, application-specificity is a new issue 29 of 36 30 of 36

Enabling technologies for WSN Sensor node architecture Cost reduction For wireless communication, simple microcontroller, sensing, batteries Miniaturization Some applications demand small size Smart dust as the most extreme vision Energy scavenging Recharge batteries from ambient energy light, Vibration Main components of a WSN node Controller Communication device(s) Sensors/actuators Memory Power supply Memory Communication device Controller Power supply Sensor(s)/ actuator(s) 31 of 36 32 of 36 Ad hoc node architecture [from L. Guibas, Stanford] Some specifications Core: essentially the same But: Much more additional equipment Hard disk, display, keyboard, voice interface, camera, Essentially: a laptop-class device 33 of 36 34 of 36 [from L. Guibas, Stanford] Power breakdown Energy scavenging How to recharge a battery? A laptop: easy, plug into wall socket in the evening A sensor node? Try to scavenge energy from environment Ambient energy sources Light - solar cells between 10 μw/cm 2 and 15 mw/cm 2 Temperature gradients 80 μ W/cm 2 @ 1 V from 5K difference Vibrations between 0.1 and 10000 μ W/cm 3 Pressure variation (piezo-electric) 330 μ W/cm 2 from the heel of a shoe Air/liquid flow (MEMS gas turbines) 35 of 36 36 of 36