Analysis of QOS and Energy Consumption in IEEE 802.15.4/ZigBee Wireless Sensor Network

the last few years, Wireless sensor networks have gained worldwide attention from both the research communities and the actual users. It comprises of a large number of extremely small autonomous computing, communication, and sensing devices, with limited energy and computing capabilities which co-operates to accomplish a large sensing task. Wireless sensor network raise some problems like limited energy resources replacement task. Therefore good functions of such networks depend on energies of nodes. In this paper two analytical models which predict the QOS in terms of throughput, jitter, average end-to-end delay and energy consumption have been introduced. These two different formats of nodes are organized as cluster and grid based network and for simulation analysis QualNet 6.1 simulator is used. KeywordsIEEE 802.15.4, Cluster based, Grid based, ZigBee, QualNet 6.1 simulator 1. INTRODUCTIONWireless sensor networks (WSNs) are the most important technologies. It has gained world-wide attention in recent few years. These sensors are small, with limited transmission range, and computing resources. These sensor nodes are battery operated and need to operate without battery replacement for several years. There are two things which are to be reviewed i.e. how to achieve balancing energy drainage across all the nodes and how to achieve high routing efficiency under multihop transmission circumstance. Therefore, for designing such type of networks researchers must focus on both the energy consumption and routing efficiency.

[1]  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.

[2]  Anis Koubaa,et al.  A Time Division Beacon Scheduling Mechanism for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks , 2007, 19th Euromicro Conference on Real-Time Systems (ECRTS'07).

[3]  Khaled Shuaib,et al.  Performance Evaluation of IEEE 802.15.4: Experimental and Simulation Results , 2007, J. Commun..

[4]  R. Kumar,et al.  Energy Efficient Routing in Wireless Sensor Networks through Grid Based Protocol , 2012, 2012 International Conference on Communication Systems and Network Technologies.

[5]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[6]  Pravin Varaiya,et al.  Energy efficient routing with delay guarantee for sensor networks , 2007, Wirel. Networks.