在無線感測網路中，常使用ZigBee作為通訊標準，其底層採用的IEEE 802.15.4標準中將使用頻段定義為2.4GHz，在此頻段上常遭受共用此頻帶的WiFi網路干擾影響，WiFi的傳送功率往往是ZigBee的數十倍，從中導致ZigBee封包的毀損，降低通訊的可靠度[1]，有鑒於此，我們引入了里德-所羅門碼(Reed-Solomon Codes)作為ZigBee封包中資料的保護，使得在傳送過程中受破壞的資料，可以於接收後藉由演算法更正回正確的資料。
本文透過Taroko實驗平台作為ZigBee訊號收發的系統，並在ZigBee封包中加入里德-所羅門碼，本文所使用的編碼長度有912、760、652以及採用三種不同的碼率(Code Rate)分別為0.45、0.65、0.75，並藉由筆記型電腦發送WiFi訊號作為干擾源，並且以WiFi脈衝雜訊的形式對ZigBee封包做干擾，ZigBee接收端收到封包後，使用伯利坎普－梅西演算法(Berlekamp-Massey Algorithm)做解碼，更正後的資料將與原資料做比對，計算出封包錯誤率，並與ZigBee傳送功率做比較。本文還加入了改變WiFi傳送端的位置與ZigBee接收端的距離，對封包錯誤率的影響以及計算ZigBee接收端的封包接收率，藉此比較出里德-所羅門碼應用於ZigBee封包在受到WiFi網路干擾下的性能表現。

In the wireless sensor network, ZigBee is often used as the communication standard. The IEEE 802.15.4 standard used in the bottom layer defines the frequency band as 2.4 GHz, which is often affected by the interference of the WiFi network sharing the frequency band. The transmission power is often tens of times that of ZigBee, which leads to the destruction of ZigBee packets and reduces the reliability of communication [1]. In view of this, we introduce Reed-Solomon code as the protection of data in ZigBee packets. The data that is destroyed during the transmission process can be corrected by the algorithm after receiving.
In this paper, we use the Taroko experimental platform as the ZigBee signal transmission and reception system, and add Reed-Solomon code to the ZigBee packet. In this paper, the codeword length used is 912, 760, 652 and uses three different code rates of 0.45, 0.65, 0.75, and send the WiFi signal as the interference source by the laptop, and interfere with the ZigBee packet over WiFi impulse noise. After receiving the packet, the ZigBee receiver uses the Berkamp-Messi algorithm to do the decoding, the corrected data will be compared with the original data, calculate the packet error rate(PER). We make a comparison of PER for all implemented codes at several ZigBee transmit power. This paper also adds the change of the location of the WiFi transmitter to the ZigBee receiver, the impact on the PER and the packet reception rate of the ZigBee receiver. This compares the performance of the Reed-Solomon code applied to the ZigBee packets under the interference of the WiFi network.

[1] C.-J. M. Liang, N. B. Priyantha, J. Liu, and A. Terzis, " Surviving Wi-Fi Interference in Low Power ZigBee Networks," in Proc. 8th ACM Conf. Embedded Networked Sensor Syst., pp. 309-322, 2010.
[2] J.-Y. Lin, "A study of Finite Field -based Quasi-cyclic LDPC Codes over Markov Gaussian Channels," 碩士論文--國立臺灣科技大學電機工程系, 2018.
[3] S.-H. Lu, "Implementation of Reed Solomon Codes for Power Line Communication," 碩士論文--國立臺灣科技大學電機工程系, 2016.
[4] 盧坤勇, ZigBee無線感測網路應用實務, 國立聯合大學國鼎圖書館, 2011.
[5] MSP430F15x, MSP430F16x, MSP430F161x Mixed Signal Microcontroller datasheet (Rev. G), Texas Instruments, 2011.
[6] J. Honsi, Porting of RF Blinking LED Software Example to CC2420 - MSP430, Texas Instruments, 2008.
[7] IAR Embedded Workbench® IDE Version 7+ for MSP430™ MCUs, Texas Instruments, 2004.
[8] MSP430x1xx Family User's Guide (Rev. F), Texas Instruments, 2015.
[9] 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver, Texas Instruments, 2014.
[10] S. Lin and D. J. Costello, Error Control Coding: Fundamentals and Applications. Prentice-Hall, 1983.
[11] S. B. Wicker, Error Control Systems for Digital Communication and Storage. Prentice-Hall, 1995.
[12] C.-L. Cheah, P.-L. Tan, and C.-K. Ho, " Experimental Investigation of Reed-Solomon Error Correction Technique for Wireless Sensor Network," International Journal of Information and Electronics Engineering, Vol. 4, No. 2, pp. 133-136, March 2014.