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Challenges and opportunities in networks of embedded sensors, processors, and actuators : 

Challenges and opportunities in networks of embedded sensors, processors, and actuators by Sethuraman karanam Under the guidance of Dr.Rajab challoo

contents: 

contents 1.What and why 2.Projects relating the networks of embedded systems. (challenges & opportunities). 3.Beam forming 4. Medium access for control applications 5. Control of networked mobile teams

Networks of Embedded systems: 

Networks of Embedded systems What? It is nothing but collection of nodes. 1.Capable of sensing or actuation. 2.Processing ability. 3.Communication ability.

Why?: 

Why? Low power communication and computation. Low cost fabrication. Multitude of low-cost sensors and actuators (dc motors,piezo actuators,…..) Integration in small-size packages. Low cost/power mobility (air,ground underwater)

Projects:-: 

Projects:- Beam-forming for low-power transmitters Medium access for control applications Control of networked mobile teams Controller

Lower power communication: 

Lower power communication Challenge: low-power transmitters cannot reach far away receivers Opportunity: strength in numbers

Beam forming 101: 

Beam forming 101 Total transmit power = N A2/2 (After constructive interference) Received power=

Adaptive beam-forming : 

Adaptive beam-forming UCB Distributed algorithm for carrier synchronization at the receiver antenna 1.each transmitter starts with a random phase 2.at each time-slot each transmitter introduces phase shifts of +δor -δ(equal prob.) 3.if total received power increased keep phase shift, otherwise discard and go to 2.

Medium access for control applications : 

Medium access for control applications Challenge: networks of sensors, controllers (processors), and actuators share a communication channel for data exchange Opportunity: co-design of medium access and feedback control algorithms to maximize number of devices per Mbps

Medium-access & control algorithms co-design : 

Medium-access & control algorithms co-design Control design methodologies for systems with non-uniform sampling, network delays, and communication faults 􀀻control laws obtained from solving convex optimization problems 􀀻multiple solutions available (differing in terms of complexity, scalability, performance, etc.) 􀀻control design procedures generate requirements for medium-access protocols Medium-access protocols designed to guarantee appropriate control requirements 􀀻E.g., CAN bus scheduling protocol that guarantees that message delivery deadlines will be met

Control of networked mobile teams : 

Control of networked mobile teams Challenge: multiple agents must operate autonomously and coordinate their efforts through a network with limited connectivity Opportunity: mobility control to accomplish the team’s mission, while maintaining appropriate inter-agent connectivity

Line-of-sight covering : 

Line-of-sight covering Goal: To distribute a group of agents for line-of-sight covering Constraints: ⌦agent network must remain line-of-sight connected ⌦the shape of the region is not known a priori

Target tracking : 

Target tracking Goal: focus the attention of a group of agents on mobile targets Constraints: ⌦only nearby agents can exchange information ⌦nonlinear vehicle dynamics.

Urls : 

Urls http://www.engineering.ucsb.edu/insights2006/pdf/presentations/insights2006_joao_hespanha.pdf http://www.iis.fraunhofer.de/asic/analog/microsystem/magnet/datasheet.html

Thank you : 

Thank you ANY QUERIES?

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