CFP last date
20 May 2024
Reseach Article

Performance Evaluation of THT Deployment with Different Scheduling Methods in WSN

by Anu Rathee
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 9
Year of Publication: 2011
Authors: Anu Rathee
10.5120/2976-3678

Anu Rathee . Performance Evaluation of THT Deployment with Different Scheduling Methods in WSN. International Journal of Computer Applications. 23, 9 ( June 2011), 44-47. DOI=10.5120/2976-3678

@article{ 10.5120/2976-3678,
author = { Anu Rathee },
title = { Performance Evaluation of THT Deployment with Different Scheduling Methods in WSN },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 9 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 44-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number9/2976-3678/ },
doi = { 10.5120/2976-3678 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:43.177217+05:30
%A Anu Rathee
%T Performance Evaluation of THT Deployment with Different Scheduling Methods in WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 9
%P 44-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper investigates the performance of a new node deployment model named Tri –Hexagon-Tiling for different types of scheduling in terms of energy consumption. This paper includes three types of scheduling methods by which we can allocate the time slots to the network nodes in order to assign them the periods of activity and inactivity. All the simulations have been conducted in OMNeT++ [1] discrete event simulator. This paper investigates the energy composition related to different scheduling methods to provide a guideline for the best choice of certain method according to the application scenario.

References
  1. Antonio G. Ruzzelli, “Wireless Sensor Networks:Enhancing Performance through Integration of MAC and Routing Protocols”,A Thesis submitted to University College Dublin for the degree of PhD in the College of Engineering, Mathematical and Physical Sciences.
  2. S. Ray et al., Robust location detection in emergency sensor networks, IEEE INFOCOM 2003, 2, 1044–1053, March 2003.
  3. Y. Zou and K. Chakrabarty, Sensor deployment and target localization based on virtual forces, IEEE INFOCOM 2003, 2, 1293–1303, San Francisco, 2003.
  4. Antonio G. Ruzzelli, Richard Tynan, and G.M.P. O” Hare. An Energy-Efficient and Low-Latency Routing Protocol for Wireless Sensor Networks. In Proceedings of the Systems Communications, ICW, pages 449–454, August 2005.
  5. Chih-Yung Chang, Kuei-Ping Shih and Shih-Chieh Lee, “ ZBP: A Zone Based Broadcasting Protocol for Wireless Sensor Networks”. Wireless Personal Communication (2005)33:53-68.
  6. A.G. Ruzzelli, M.J. O” Grady, G.M.P. O” Hare and R. Tynan. ”Adaptive scheduling in Wireless Sensor Networks”, In proceeding of WAC2005, the 2nd IFIP Workshop on Autonomic Communication Athens, Greece, LNCS press, 2005.
  7. Sinem Coleri Ergen and Pravin Varaiya, “ TDMA Scheduling Algorithms for Sensor Networks”, July 2005.
  8. Shubham Jain and Sanjay Srivastava, “ A A Survey and Classification of Distributed Scheduling Algorithms for Sensor Networks”, 2007 IEEE.
  9. Yunali Wang, Xianghui Liu, Jianping Yin, Ning Jing, “Efficiently Link Scheduling in Wireless Sensor Network”, Submitted in 2006 1 st International Symposium on Pervasive Computing and Applications.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks THT deployment X scheduling V scheduling Leon Cross scheduling Energy consumption