Analysis of energy model and Performance of IEEE 802.15.4 WSNs under Different Duty Cycle

IEEE 802.15.4 is an emerging communication protocol for low rate-wireless personal network (LR- WPAN) which has gained importance in last few years, in practical and research field. Nowadays Zigbee used in many applications such as home automation, industrial, and medical system etc. The low rate WPANs provide low power consumption, low cost and small range wireless networking. Zigbee uses IEEE 802.15.4 as its communication protocol for medium access control (MAC) layer and physical (PHY) layer. Since in WSNs, nodes are powered by limited capacity of batteries and densely deployed in any geographic region to perform sensing. So that energy efficient operation and better QoS are always desired in WSNs. In this paper, we have focused on two energy model i.e. Mica mote and mica z and beacon enable mode operation of IEEE802.15.4 with different duty cycle under different traffic load. The duty cycle operation achieve by setting two system parameters, macBeaconOrder (BO) and macSuperframeorder (SO). This paper, comparatively analyzed the energy model and performance of IEEE 802.15.4 with different percentage of duty cycle on the basis of energy consumption and QoS parameter. The matrices used in performance evaluation are packet loss rate (PLR), average end to end delay, throughput, residual battery capacity and energy consumption using Qualnet 6.1 simulator. Keywords -WSN, IEEE 802.15.4, Bacon order (BO), Super frame order (SO), Duty Cycle, CBR traffic, and Qualnet 6.1.

[1]  Wei-Ho Chung,et al.  A Mobility-Aware Node Deployment and Tree Construction Framework for ZigBee Wireless Networks , 2013, IEEE Transactions on Vehicular Technology.

[2]  Eduardo Tovar,et al.  TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks , 2008, Real-Time Systems.

[3]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[4]  Hu Yan-jun Wireless Sensor Network Technology , 2006 .

[5]  Pingping Xu,et al.  Analysis of Energy Efficiency and Power Saving in IEEE 802.15.4 , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[6]  Ai-Chun Pang,et al.  A comprehensive analysis of low-power operation for beacon-enabled IEEE 802.15.4 wireless networks , 2009, IEEE Transactions on Wireless Communications.

[7]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[8]  M. El-Sharkawy,et al.  On ZigBee coexistence in the ISM band: Measurements and simulations , 2012, 2012 International Conference on Wireless Communications in Underground and Confined Areas.

[9]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[10]  S. K. Patra,et al.  Quality of service analysis in IEEE 802.15.4 mesh networks using MANET routing , 2010, 2010 Second International conference on Computing, Communication and Networking Technologies.

[11]  Jelena V. Misic,et al.  Performance of a beacon enabled IEEE 802.15.4 cluster with downlink and uplink traffic , 2006, IEEE Transactions on Parallel and Distributed Systems.

[12]  Feng Shu,et al.  Optimizing the IEEE 802.15.4 MAC , 2006, TENCON 2006 - 2006 IEEE Region 10 Conference.

[13]  Daniel Minoli,et al.  Wireless Sensor Networks: Technology, Protocols, and Applications , 2007 .

[14]  Yuping Zhao,et al.  Analysis and Compare of Slotted and Unslotted CSMA in IEEE 802.15.4 , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.