Safety-critical wireless sensor networks under a polyphase spreading sequences scenario

Safety-critical wireless sensor networks under a polyphase spreading sequences scenario

Reliable communication is a vital issue for safety- and mission-critical wireless sensor network environments such as industrial monitoring, medical care, and battlefield surveillance. These networks require highly accurate and delay-intolerant wireless communications. Under such critical conditions, the chip sequences used in these networks become vulnerable because of channel impairments and other interferences, thereby significantly decreasing overall system performance. In this paper, polyphase sequences are employed at the physical layer of IEEE Standard 802.15.4 to enhance the communication reliability of wireless sensor networks. Through an extensive simulation, it is found that upon applying polyphase sequences, the chip errors are reduced to 2.94 × 10−6 in comparison to 1.18 × 10−5 of conventional binary sequences (PN sequences).

___

  • [1] Dargie WW, Poellabauer C. Fundamentals of Wireless Sensor Networks: Theory and Practice. Hoboken, NJ, USA: Wiley, 2010.
  • [2] Zheng J, Jamalipour A. Wireless Sensor Networks: A Networking Perspective. Hoboken, NJ, USA: Wiley, 2009.
  • [3] Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: a survey. Comput Netw 2002; 38: 393-422.
  • [4] Chong CY, Kumar SP. Sensor networks: evolution, opportunities, and challenges. Proc IEEE 2003; 918: 1247-1256.
  • [5] Gaddam A, Mukhopadhyay SC, Sen Gupta G, Guesgen H. Wireless sensors networks based monitoring: review, challenges and implementation issues. In: IEEE 2008 International Conference on Sensing Technology; 30 November–3 December 2008; Tainan, Taiwan. New York, NY, USA: IEEE. pp. 533-538.
  • [6] Barac F, Gidlund M, Zhang T. CLAP: Chip-level augmentation of IEEE 802.15.4 PHY for error-intolerant WSN communication. In: IEEE 2015 Vehicular Technology Conference; 11–14 May 2015; Glasgow, UK. New York, NY, USA: IEEE. pp. 1-7.
  • [7] Wu K, Tan H, Ngan HL, Liu Y, Ni LM. Chip error pattern analysis in IEEE 802.15.4. IEEE T Mobile Comput 2012; 11: 543-552.
  • [8] Fang S, Berber S, Swain A, Rehman SU. A study on DSSS transceivers using OQPSK modulation by IEEE 802.15.4 in AWGN and flat Rayleigh fading channels. In: IEEE 2010 TENCON Conference; 21–24 November 2010; Fukuoka, Japan. New York, NY, USA: IEEE. pp. 1347-1351.
  • [9] IEEE. IEEE Standard (802.15.4-2006) for Information Technology-Telecommunication and Information Exchange Between Systems—Local and Metropolitan Area Networks—Specific Requirements, Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs). New York, NY, USA: IEEE, 2006.
  • [10] IEEE. IEEE Standard (802.15.4-2003) for Information Technology-Telecommunications and Information Exchange Between Systems—Local and Metropolitan Area Networks—Specific Requirements, Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs). New York, NY, USA: IEEE, 2003.
  • [11] IEEE. 802.15.4k - IEEE Standard for Local and Metropolitan Area Networks— Part 15.4: Low Rate Wireless Personal Area Networks (LR-WPANs). Amendment 5: Physical Layer Specifications for Low Energy, Critical Infrastructure Monitoring Networks. New York, NY, USA: IEEE, 2013.
  • [12] Xiong X, Wu T, Long H, Zheng K. Implementation and performance evaluation of LECIM for 5G M2M applications with SDR. In: IEEE 2014 Globecom Workshop; 8–12 December 2004; Austin, TX, USA. New York, NY, USA: IEEE. pp. 612-617.
  • [13] Tang X, Xu R. Code and carrier synchronization for IEEE 802.15.4K DSSS PHY. In: Park JH, Stojmenovic I, Jeong HY, Yi G, editors. Computer Science and Its Applications. London, UK: Taylor and Francis, 2015. pp. 149-154.
  • [14] Wysocki BJ, Wysocki TA. On a method to improve correlation properties of orthogonal polyphase spreading sequences. J Telecommun Inf Technol 2003; 2: 99-105.
  • [15] Chan CK, Lam WH. A simplified aperiodic cross-correlation model for direct-sequence spread-spectrum multipleaccess communication systems. In: IEEE 1994 International Conference on Communications; 1–5 May 1994; Lannion, France. New York, NY, USA: IEEE. pp. 1516-1520.
  • [16] Jin Y, Al Ameen M, Liu H, Kwak KS. Interference mitigation study for low energy critical infrastructure monitoring applications. In: IEEE 2012 International Symposium on Communications and Information Technologies; 2–5 October 2012; Gold Coast, Australia. New York, NY, USA: IEEE. pp. 962-966.
  • [17] C¸ ¨opl¨u T, Oktu˘g SF. PRESCIENT: A predictive channel access scheme for IEEE 802.15.4-compliant devices considering IEEE 802.11 coexistence. Turk J Elec Eng & Comp Sci 2015; 23: 1465-1478.
  • [18] Jamil M, Linde LP. A comparison of unfiltered and filtered complex spreading sequences based on aperiodic correlation properties. In: IEEE 1998 International Symposium on Spread Spectrum Techniques and Applications; 4 September 1998; Sun City, South Africa. New York, NY, USA: IEEE. pp. 686-691.
  • [19] Anderson D, Wintz PA. Analysis of a spread-spectrum multiple-access system with a hard limiter. IEEE T Commun Techn 1969; 17: 285-290.
  • [20] Pursley MB. Performance evaluation for phase-coded spread-spectrum multiple-access communication. Part I: System analysis. IEEE T Commun 1977; 25: 795-799.
  • [21] Karkkainen KH, Leppanen PA. Comparison of the performance of some linear spreading code families for asynchronous DS/SSMA systems. In: IEEE 1991 Military Communications Conference; 4–7 November 1991; Maclean, VA, USA. New York, NY, USA: IEEE. pp. 784-790.
  • [22] Chen XH, Lang T, Oksman J. Multiple chip-rate DS/CDMA system and its spreading code dependent performance analysis. IEE P-Commun 1998; 145: 371-377.
  • [23] Oppermann I, Vucetic BS. Complex spreading sequences with a wide range of correlation properties. IEEE T Commun 1997; 45: 365-375.
  • [24] Khan Z. Performance analysis of spreading sequences in radio channels. PhD, Blekinge Institute of Technology, Karlskrona, Sweden.
  • [25] Borwein PE, Ferguson R, Knauer J. The merit factor problem. Lond Math S 2000; 52-70.
  • [26] Solaiman B F, Sheta A. Energy optimization in wireless sensor networks using a hybrid K-means PSO clustering algorithm. Turk J Elec Eng & Comp Sci 2016; 24: 2679-2695.
  • [27] Shuaib K, Alnuaimi M, Boulmalf M, Jawhar I, Sallabi F, Lakas A. Performance evaluation of IEEE 802.15.4: experimental and simulation results. J Commun 2007; 2: 29-37.
  • [28] Xia J, Chen L, Li Y, Zhou Y. System modeling and analysis of the IEEE 802.15. 4 physical layer design. In: IEEE 2011 International Conference on ASIC; 25–28 October 2011; Xiamen, China. New York, NY, USA: IEEE. pp.228-231.
  • [29] Anwar AK, Lavagno L. Simulink modeling of the 802.15.4 physical layer for model-based design of wireless sensor networks. In: IEEE 2009 International Conference on Sensor Technologies and Applications; 18–23 June 2009;Athens, Greece. New York, NY, USA: IEEE. pp. 38-42.
  • [30] Velagapudi P, Eravatri BC, Mantri MB, Mani VV. Performance analysis of various IEEE 802.15.4 PHYs under Rayleigh fading channel. In: IEEE 2013 International Conference on Advanced Computing and Communication Systems; 19–21 December 2013; Sri Eshwar, India. New York, NY, USA: IEEE. pp. 1-5.
  • [31] Barac F, Gidlund M, Zhang T. Scrutinizing bit- and symbol-errors of IEEE 802.15.4 communication in industrial environments. IEEE T Instrum Meas 2014; 63: 1783-1794.
  • [32] Planin P, Pesovic U, Gleich D. Chip error probability of IEEE 802.15.4 wireless transmission. In: IEEE 2014 International Electrotechnical and Computer Science Conference; 22–24 September 2014; Potroroz, Slovenia. New York, NY, USA: IEEE. pp. 65-68.