|
Title:
|
TREE BASED TASK SCHEDULING ALGORITHM FOR REDUCING STATE TRANSITIONS IN HOMOGENEOUS WIRELESS SENSOR NETWORK |
|
Author(s):
|
Siddhartha Chauhan, Sumit Kumar |
|
ISBN:
|
978-989-8533-06-7 |
|
Editors:
|
Hans Weghorn, Leonardo Azevedo and Pedro Isaías |
|
Year:
|
2011 |
|
Edition:
|
Single |
|
Keywords:
|
TDMA, Time Delay, Scheduling, State Transition, Data Collection Tree |
|
Type:
|
Full Paper |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
In wireless sensor networks (WSNs), data aggregation techniques are used to collect the data sample at sink, generated by sensor nodes. Data aggregation for WSNs must address to the issues of WSNs like limited energy in battery powered sensor, and fast and efficient query response which is essential to network performance and maintenance. In this paper, we propose an energy-efficient tree based task scheduling algorithm which is reduces the time for data collection. During the data aggregation sensors nodes consume different energy in different radio states (transmitting, receiving, listening, sleeping, and being idle) and also consume energy for state transition. Our proposed protocol Tree Based Task scheduling (TBTS) protocol reduces state transitions of radio in sensor node there by reducing the energy consumption. Sensor node activity is scheduled so that in wakeup state reception and transmission activities are continuously performed by nodes before going in to sleep state. Wakeup time is reduced by our proposed scheduling Protocol. Simulation results show that our proposed protocol reduces energy consumption and time delay. |
|
|
|
|
|
|
