Total views : 149
Performance Analysis of IEEE 802.15.4 RF Zigbee Transceiver in an Indoor and Outdoor Environment
Objective: This paper focuses on the Bit Error Rate (BER) performance of IEEE 802.15.4 RF Zigbee transceiver compliant WSN in an interference environment. This includes 1. Studying of effect of various building materials and partitions in an indoor environment and 2. Effect of interference that coexist in an outdoor environment. Methods/Statistical Analysis: In an indoor environment, building materials such as hard board, concrete wall and the partitions of two floors are considered for the analysis. Path loss due to those materials in an indoor environment is calculated by log-distance model. Improved Gaussian Approximation (IGA) technique is used to derive the closed form expression for BER considering less number of interferers in a Rayleigh fading outdoor environment. BER are analysed by varying the IEEE 802.15.4 standard specific physical layer parameters, such as number of bits in a Zigbee symbol, number of modulation levels used in an OQPSK modulator and spreading length of PN sequence. Findings: The analysis in an indoor environment points out that, path-loss provided by hard board and concrete wall to the signal is equal. In case of floors, path-loss value get increased as number of floors increases between transmitter and receiver. In outdoor environment, it is analysed that BER performance of Zigbee transceiver shows better performance when lower number of bits in a Zigbee symbol and lower level of modulation scheme in OQPSK modulator. Application/Improvements: The performance can be improved by using chaotic sequence for spreading in place of PN sequence and can be implemented for IoT based applications.
Bit Error Rate, IEEE 802.15.4, Improved Gaussian Approximation, Rayleigh, Signal to Noise Ratio, Wireless Sensor Network, Zigbee.
- Akyildiz F, Su W, Sankarasubramaniam Y, Cayirci E. A survey on sensor networks. IEEE Communications Magazine.2002 Aug; 40(8):102–14.
- Jadhavar BR, Sontakke TR. 2.4 GHz propagation prediction models for indoor wireless communications within building. International Journal of Soft Computing and Engineering. 2012 Jul; 2(3):108–13.
- Nithya V, Ramachandran B, Bhaskar V. BER Evaluation of IEEE 802.15.4 compliant Wireless Sensor Networks under various fading channels. Springer Science+Business Media; New York. 2014.
- Sohail A, Ahmad Z, Ali I. Analysis and measurement of Wi-Fi signals in indoor environment. IJET. 2013 May; 6(2):678–87.
- Xu H, Kusya V, Sappaport T. Spatial and temporal characteristics of 60-GHz indoor channels. IEEE Journal on Selected Areas in Communications. 2002 Apr; 20(3):620–30.
- NNEBE Scholastica U. Path loss prediction model of a Wireless Sensor Network in an indoor environment.International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2014 Sep; 3(9):11665–73.
- Rappaport TS. Wireless communications: Principles and practice. 2nd ed. Upper Saddle River, NJ: Prentice Hall, Inc; 2010
- Molkar D. Review on radio propagation into and within buildings. IEEE proceeding-H. 1991 Feb; 138(1):61–73.
- Stalling W. Wireless communication and networks. 4th ed. Pearson Limited; 2004. p. 39–118.
- Chong CY, Kumar SP. Sensor networks: Evolution, challenges and opportunities. Proceedings of the IEEE. 2003; 91(8):1247–56.
- Dargie W, Poellabauer C. Fundamentals of Wireless Sensor Networks: Theory and practice. Wiley; 2010 Jul.
- Romer K, Mattern F. The design space of Wireless Sensor Networks. IEEE Wireless Communications. 2004 Dec; 11(6):54–61.
- Gupta SK, Sinha P. Overview of Wireless Sensor Network: A survey. International Journal of Advanced Research in Computer and Communication Engineering. 2014 Jan; 3(1):5201–7.
- Datta U, Vardhan V, Kundu S. BER and energy level performance of layered CDMA Wireless Sensor Network in presence of correlated interferers. IEEE Region 10 Conference; Singapore. 2009. p. 1–6.
- Balakrishnan G, Yang M, Jiang Y, Kim Y. Performance analysis of error control codes in Wireless Sensor Networks.Fourth International Conference on Information Technology; Las Vegas, Nevada, USA. 2007. p. 876–9.
- Matlok DW, Frolik J. Worse-than-Rayleigh fading: Experimental results and theoretical models. IEEE Communication Magazine. 2011; 49(4):140–6.
- Durgin G, Rappaport T, De Wolf D. New analytical models and probability density functions for fading in wireless communications. IEEE Transactions on Communications.2002; 50(6):1005–15.
- Krthika N, Seethalakshmi R. Safety scheme for mining industry using Zigbee module. Indian Journal of Science and Technology. 2014 Aug; 7(8):1222–7.
- Gradstheyn IS, Ryzhik IM. Table of integrals, series and products. 6th ed. London: Academic Press; 2001.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.