Implementation of Efficient Power Conservation Algorithms in Industrial Wireless Sensor Networks

AIM: Evaluate the algorithms related to power conservation and choose the best suited algorithms (any three algorithms) which consume less power and has capability to maintain a Wireless Sensor Network. and also, investigate the possibility for such algorithms to possess self organizing and self healing mechanism.

Proposal: My proposal is to estimate the battery life for the selected algorithms, where a specific industrial applications is considered. My research include both analytical work and as well as experimental part through simulation by using MATLAB.

The process is to study various power conservation algorithms and then with a theoretical analysis in order to estimate the battery life time of each algorithm. the selection should be based on power conservation, network life time and also related to industrial specifications as well.

My proposal demonstrates the total energy consumed per message, average distance calculated from source node to sink node by performing simulation in MATLAB.

the main 3 basic steps: Calculation part

1: calculation of shortest path from source to destination among the nodes to save energy

2: calculation of total energy parameters like average distance and average energy of the nodes involving in shortest paths.

3: calculation of total energy while transmitting the data from source to sink in every single round.

--Evaluate the most appropriate algorithms in specific industrial application and also verifying the existence of self healing and self organizing techniques.

1: description and techniques about the 3 algorithms

2: advantages and disadvantages

3: working principals

4: flow chart

I) Identify the problems of power conservation related to wireless sensor networks

II) discuss a list of the previous work till now..

III) References/ Authors

Requirement: As we are considering the whole network (either small or large) having nodes not less than 100 as like an industry(eg: distribution center) that means the sensors are presented randomly nothing but a fixed and known nodes location.

the combination of three algorithms should meet the requirements of three different techniques:

1: power conservation

------ Max efficiency

------ Max life time

2: Self organizing and self healing mechanism

3: Maximum battery life

choose the best suited algorithms based on the requirements of specific industrial application. Also, by implementing those algorithms and considering the time interval of 20, 40 and 60 min, the battery life is estimated for any network.

Evner: Elektrisk Ingeniørarbejde, Elektronik, Matlab and Mathematica, Trådløs

Se mere: using algorithms, the shortest path algorithm, the analysis of algorithms, the algorithms, study of algorithms, study algorithm, source and sink flow, sink flow, shortest path algorithms, shortest path algorithm c, problems in algorithms, problems.algorithms, power part 2, path flow, path algorithm, network flow problems, network flow data, network flow applications, network flow algorithms, network flow algorithm, most efficient algorithm, min flow, max network flow, maximum path, maximum flow network

Om arbejdsgiveren:
( 0 bedømmelser ) United Kingdom

Projekt ID: #6020339

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HI! Nice and clear description of your task! My group has much experience in research topic in signal processing, and we also have deep understanding and hot heart in industrial projects, critical requirements in use Flere

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i am a computer engineer . i am also doing my masters degree on computer engineering. i am working as technical writer in a music company that is included mobile application . i am also working on on line software s Flere

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I need details everything available and i ll give you optimum solution via simulations and calculations.

£150 GBP in 7 dage
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Good understanding over wireless sensor networks with proven expertise and experience in practical implementations of algorithms for power conservation over wireless networks. We can test the available algorithms av Flere

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