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Fast Data Collection in Tree-Based

                              Wireless Sensor Networks

AIM :

To improve the performance of various channel assignment methods

with fast convergecast in WSN

Abstract:

       We explore and evaluate a number of different techniques using realistic simulation

models under the many-to-one communication paradigm known as convergecast. We first

consider time scheduling on a single frequency channel with the aim of minimizing the number

of time slots required (schedule length) to complete a convergecast. Next, we combine

scheduling with transmission power control to mitigate the effects of interference, and show that

while power control helps in reducing the schedule length under a single frequency, scheduling

transmissions using multiple frequencies is more efficient. We give lower bounds on the

schedule length when interference is completely eliminated, and propose algorithms that achieve

these bounds. Then, the data collection rate no longer remains limited by interference but by the

topology of the routing tree. To this end, we construct degree-constrained spanning trees and

capacitated minimal spanning trees, and show significant improvement in scheduling

performance over different deployment densities.

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Fast Data Collection in Tree-Based Wireless Sensor Networks

  • 1. Fast Data Collection in Tree-Based Wireless Sensor Networks AIM : To improve the performance of various channel assignment methods with fast convergecast in WSN Abstract: We explore and evaluate a number of different techniques using realistic simulation models under the many-to-one communication paradigm known as convergecast. We first consider time scheduling on a single frequency channel with the aim of minimizing the number of time slots required (schedule length) to complete a convergecast. Next, we combine scheduling with transmission power control to mitigate the effects of interference, and show that while power control helps in reducing the schedule length under a single frequency, scheduling transmissions using multiple frequencies is more efficient. We give lower bounds on the schedule length when interference is completely eliminated, and propose algorithms that achieve these bounds. Then, the data collection rate no longer remains limited by interference but by the topology of the routing tree. To this end, we construct degree-constrained spanning trees and capacitated minimal spanning trees, and show significant improvement in scheduling performance over different deployment densities.