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.