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An Analytical Model for IEEE 802.15.4/ ZigBee Wireless Sensor Networks with Duty Cycle Mechanism for Performance Prediction and Configuration of MAC Parameters to Achieve QoS and Energy Efficiency

by Dushyanta Dutta, Arindam Karmakar, Dilip Kr. Saikia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 5
Year of Publication: 2014
Authors: Dushyanta Dutta, Arindam Karmakar, Dilip Kr. Saikia
10.5120/17808-8629

Dushyanta Dutta, Arindam Karmakar, Dilip Kr. Saikia . An Analytical Model for IEEE 802.15.4/ ZigBee Wireless Sensor Networks with Duty Cycle Mechanism for Performance Prediction and Configuration of MAC Parameters to Achieve QoS and Energy Efficiency. International Journal of Computer Applications. 102, 5 ( September 2014), 1-9. DOI=10.5120/17808-8629

@article{ 10.5120/17808-8629,
author = { Dushyanta Dutta, Arindam Karmakar, Dilip Kr. Saikia },
title = { An Analytical Model for IEEE 802.15.4/ ZigBee Wireless Sensor Networks with Duty Cycle Mechanism for Performance Prediction and Configuration of MAC Parameters to Achieve QoS and Energy Efficiency },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 5 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number5/17808-8629/ },
doi = { 10.5120/17808-8629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:18.137116+05:30
%A Dushyanta Dutta
%A Arindam Karmakar
%A Dilip Kr. Saikia
%T An Analytical Model for IEEE 802.15.4/ ZigBee Wireless Sensor Networks with Duty Cycle Mechanism for Performance Prediction and Configuration of MAC Parameters to Achieve QoS and Energy Efficiency
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 5
%P 1-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The IEEE 802. 15. 4 standard defines a Physical (PHY) and Medium Access Control (MAC) layer protocol for low data rate wireless network with low power requirement which makes it ideal PHY/MAC for WSNs. Currently WSNs with combination of IEEE 802. 15. 4 and ZigBee are being used extensively in industrial applications such as factory automation and control, environmental monitoring etc. Such applications need Quality of Service (QoS) in terms of reliability and latency along with energy efficiency for longevity of the network. The slotted IEEE 802. 15. 4 MAC protocol uses the duty cycle mechanism to save energy. However the duty cycle mechanism reduces the effective bandwidth leading to possibility of higher packet collision in the active periods and an improper choice of duty cycle may result in low packet delivery ratio and higher packet latency. Similarly there other MAC parameters such as the beacon interval which have bearing on performance of the WSN. It is therefore necessary to make accurate analysis of IEEE 802. 15. 4 MAC protocol, with duty cycle mechanism enabled, so that the MAC parameters such as Duty Cycle, beacon interval etc. can be set so as to ensure satisfaction of QoS requirements of applications while achieving maximum energy efficiency. We present here an analytical model developed as a Markov Chain Process for slotted IEEE 802. 15. 4 MAC protocol assuming duty cycle mechanism is enabled in the protocol. Expressions are derived based on the model to compute percentage of packet successfully delivered within a given latency and the energy consumed by the sensor nodes in the process. The model is expected to be useful in deciding on the key MAC parameter values for applications of known traffic load and QoS requirements such as Packet Delivery Ratio(PDR) within given latency while maximizing energy efficiency. The analytical model presented is validated through simulation study in NS2.

References
  1. Giuseppe Bianchi. Performance analysis of the IEEE 802. 11 distributed coordination function. Selected Areas in Communications, IEEE Journal on, 18(3):535–547, 2000.
  2. Bruno Bougard, Francky Catthoor, Denis C Daly, Anantha Chandrakasan, and Wim Dehaene. Energy efficiency of the IEEE 802. 15. 4 standard in dense wireless microsensor networks: Modeling and improvement perspectives. In Design, Automation, and Test in Europe, pages 221–234. Springer, 2008.
  3. Bo Gao, Chen He, and Lingge Jiang. Modeling and analysis of ieee 802. 15. 4 csma/ca with sleep mode enabled. In Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on, pages 6–11. IEEE, 2008.
  4. Yu-Kai Huang, Ai-Chun Pang, and Hui-Nien Hung. A comprehensive analysis of low-power operation for beaconenabled IEEE 802. 15. 4 wireless networks. Wireless Communications, IEEE Transactions on, 8(11):5601–5611, 2009.
  5. IEEE TG 15. 4, part 15. 4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low- Rate Wireless Personal Area Networks (WPANs), IEEE Std. , New York.
  6. Gang Lu, Bhaskar Krishnamachari, and Cauligi S Raghavendra. Performance evaluation of the IEEE 802. 15. 4 MAC for low-rate low-power wireless networks. In Performance, Computing, and Communications, 2004 IEEE International Conference on, pages 701–706. IEEE, 2004.
  7. Jelena Mi?si´c, Shairmina Shafi, and Vojislav B Mi?si´c. The impact of MAC parameters on the performance of 802. 15. 4 PAN. Ad Hoc Networks, 3(5):509–528, 2005.
  8. Network Simulator version - 2. http://www. isi. edu/ nsnam/ns/.
  9. Pan Gun Park, Piergiuseppe Di Marco, Carlo Fischione, and Karl Henrik Johansson. Delay distribution analysis of wireless personal area networks. In CDC, pages 5864–5869, 2012.
  10. Pangun Park, Piergiuseppe Di Marco, Pablo Soldati, Carlo Fischione, and Karl Henrik Johansson. A generalized markov chain model for effective analysis of slotted ieee 802. 15. 4. In Mobile Adhoc and Sensor Systems, 2009. MASS'09. IEEE 6th International Conference on, pages 130–139. IEEE, 2009.
  11. The ZigBee Specification version 2. 0. http://www. zigbee. org/Standards/Downloads. aspx.
  12. Andreas Willig. Recent and emerging topics in wireless industrial communications: A selection. Industrial Informatics, IEEE Transactions on, 4(2):102–124, 2008.
  13. Zhuoling Xiao, Chen He, and Lingge Jiang. Slot-based model for IEEE 802. 15. 4 MAC with sleep mechanism. Communications Letters, IEEE, 14(2):154–156, 2010.
  14. Richard Zurawski. The industrial communication technology handbook. CRC Press, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Slotted IEEE802. 15. 4 Quality of Service (QoS) Packet Delivery Ratio (PDR) Energy Efficiency Duty Cycle Beacon Order