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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 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? 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:- 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 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 : 


Thank you : 

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