CFP last date
22 April 2024
Reseach Article

Energy Consumption using IEEE802.15.4 Sensor Networks

by S.g.santhi, B.divya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 9
Year of Publication: 2015
Authors: S.g.santhi, B.divya
10.5120/20366-2571

S.g.santhi, B.divya . Energy Consumption using IEEE802.15.4 Sensor Networks. International Journal of Computer Applications. 116, 9 ( April 2015), 30-33. DOI=10.5120/20366-2571

@article{ 10.5120/20366-2571,
author = { S.g.santhi, B.divya },
title = { Energy Consumption using IEEE802.15.4 Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number9/20366-2571/ },
doi = { 10.5120/20366-2571 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:39.953357+05:30
%A S.g.santhi
%A B.divya
%T Energy Consumption using IEEE802.15.4 Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 9
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Order to fulfill the energy consumption reduction in IEEE 802. 15. 4 sensor networks, it proposes an energy efficient implementation by managing the mobility in the networks using speculative algorithm in cluster tree topology. This system aims at anticipating the loss of the association between coordinators and mobile nodes. To adapt the mobility between the nodes, it proposes a hierarchical addressing algorithm in which hierarchical address is assigned to each node of the network. Speculative algorithm is used to choose the next coordinator of association. The impact of MAC parameters on packet delivery ratio and the effectiveness of ADAPT algorithm is analyzed for a ZigBee sensor networks. A comparative study of ZigBee network with and without ADAPT algorithm. As a measure the signature verification of each node is done as that the packet transfer can be made secure. From this method it minimizes the energy of the system efficient.

References
  1. Chiraz Chaabane, Alain Pegatoquet, Michel Auguin, "Energy Optimization For Mobile Nodes in a Cluster Tree IEEE 802. 15. 4/ZigBee Network",2011
  2. Chavan S. G. , Shirsat S. A, "Performance Comparison of Network Topologies in ZigBee Based WPAN", Volume 4, October-2013.
  3. ChirazChaabane, Alain Pegatoquet, Michel AuguinLEAT, "An Efficient Mobility Management Approach For IEEE 802. 15. 4/ZigBee Nodes", 2012.
  4. S. G. Santhi, K. Chitralakshmi, "MobilityBased Tree Construction for ZigBee Wireless Networks", International Journal of Computer Science &Engineering Technology (IJCSET), January 2014.
  5. S. G. Santhi, Dr. K. Venkatachalapathy, "energy consumption based rejoin procedure for cluster tree in 802. 15. 4 sensor networks", International Journal of Scientific & Engineering Research (IJSER), Volume 4, Issue 11, November-2013.
  6. Rajeev Piyare, Seong-roLee,"Performance Analysis of XBee ZB Module Based Wireless Sensor Networks", Volume 4, Issue 4, April-2013.
  7. Bih-Yaw Shih, Chen-Yuan Chen, Chia Hung Shih and Jyun-Ying Tseng, "The Development of Enhancing Mechanisms For Improving the Performance of IEEE 802. 15. 4", June, 2010.
  8. SurenderSoni and Narottam Chand, "Energy Efficient Multi-Level Clustering to Prolong the Lifetime of Wireless Sensor Networks", MAY 2010.
  9. G R Veerendra1, Nandini Prasad K S, BabuNandPuttamadappa C,"Topology Based Performance Analysis of IEEE 802. 15. 4 for Wireless Sensor Networks" , Volume10, No. 8, August 2010.
  10. ArvindKumar, Chanpreet Singh, "Performance Evaluation of Routing Protocols for Packet Drop Statistics for Meshed Routing in IEEE802. 15. 4 based WSNs", IJECT Volume 2, Issue 3, September. 2011.
  11. J. M. Cano-Garcia, E. Casilari, "An Empirical Evaluation of the Consumption of IEEE 802. 15. 4/ ZigBee Sensor Motes in Noisy Environments", 11-13 April 2011.
  12. Sangeetha C P, Dr. C. D. Suriyakala, "The IEEE 802. 15. 4 MAC Unreliability Problem: Issues and Solutions - A Survey", Vol. 2, Issue 12, December 2013.
  13. DibaMirza, Maryam Owrang, Curt Schurgers,"Energy-efficient Wakeup Scheduling for Maximizing Lifetime of IEEE 802. 15. 4 Networks" , 2010.
  14. S. G. Santhi, K. Venkatachalapathy "Ant based Multiple Cluster Tree Routing for 802. 15. 4 Sensor Networks", International Journal of Computer Applications(IJCA) (0975 – 888) Volume 48– No. 10, June 2012.
  15. Giuseppe Anastasi, "The MAC Unreliability Problem in IEEE 802. 15. 4 Wireless Sensor Networks", 2009.
  16. RiteshMadan, Member, IEEE, Shuguang Cui, Member, IEEE, Sanjay Lall, Senior Member, IEEE, and Andrea J. Goldsmith, Fellow, IEEE,"Modeling and Optimization of Transmission Schemes in Energy-Constrained Wireless Sensor Networks", Volume 15, NO 6, December 2007.
  17. Vinay Kumar, SudarshanTiwari, "Energy Efficient Clustering Algorithms In Wireless Sensor Networks: A Survey", Volume 8, Issue 5, No 2, September 2011.
  18. Mario Di Francesco, "A Comprehensive Analysis of the MAC Unreliability Problem in IEEE 802. 15. 4 Wireless Sensor Networks",2010.
  19. Abdul Aziz, M. Ali Qureshi, M. UmairSoorage, M. NomanKashif, and M. ArsalanHafeez, Member, IACSIT, "Evaluation of ZigBee Based Wireless Sensor Networkwith Static Sink and Random Sink Mobility",Volume 4, August 2012.
  20. Soamsiri Chantaraskul, "Multi-Channel Utilization Algorithms for IEEE 802. 15. 4 based Wireless Network: A Survey", July 2013.
  21. GuanXin,WuHua Yang and Bi DeGang,"EEHCA: An Energy Efficient Hierarchical Clustering Algorithm For Wireless Sensor Networks", 2008.
  22. Wang J, Cao YT, Xie JY et al, "Energy efficient backoff hierarchical clustering algorithms for multi-hop wireless sensor networks", March 2011.
  23. Jinxue ZHANG, Ming ZHANG, "Energy Efficient Least Spanning Routing Tree Algorithm Based on Virtual Grid in Wireless Sensor Networks" ,Volume 158, Issue 11, November 2013.
Index Terms

Computer Science
Information Sciences

Keywords

IEEE802. 15. 4 mobility cluster tree packet delivery ratio.