Improving Throughput of Communication Link in IEEE 802.15.4 Based Energy-Harvesting Wireless Sensor Network

BAI Nana; GONG Siliang; SHI Haiyan; CHENG Zhen; ZHU Yihua

doi:10.1049/cje.2019.03.003

Volume 28 Issue 4

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Electronics > 2019 > 28(4): 841-849

BAI Nana, GONG Siliang, SHI Haiyan, et al., “Improving Throughput of Communication Link in IEEE 802.15.4 Based Energy-Harvesting Wireless Sensor Network,” Chinese Journal of Electronics, vol. 28, no. 4, pp. 841-849, 2019, doi: 10.1049/cje.2019.03.003

Citation:

BAI Nana, GONG Siliang, SHI Haiyan, et al., “Improving Throughput of Communication Link in IEEE 802.15.4 Based Energy-Harvesting Wireless Sensor Network,” Chinese Journal of Electronics, vol. 28, no. 4, pp. 841-849, 2019, doi: 10.1049/cje.2019.03.003

Citation:

PDF( 1383 KB)

Improving Throughput of Communication Link in IEEE 802.15.4 Based Energy-Harvesting Wireless Sensor Network

doi: 10.1049/cje.2019.03.003

1.
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;
2.
School of Mechanical and Electrical Engineering, Shaoxing University, Shaoxing 312000, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61432015, No.61772470) and the Zhejiang Provincial Natural Science Foundation of China (No.LY15F020029).

More Information

Corresponding author: ZHU Yihua (corresponding author) received his B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 1982; his M.S. degree in operation research and cybernetics from Shanghai University, Shanghai, China in 1993; and his Ph.D. degree in computer science and technology from Zhejiang University, Zhejiang, China, in 2003. Dr. Zhu is a professor at Zhejiang University of Technology, Hangzhou, China. He is a member of China Computer Federation Technical Committee on Sensor Network. His current research interests include information dissemination, stochastic modeling and analysis, power management, mobility management for wireless networks, and network coding. He has served as technical program committee members in the international conferences ICC, WCNC, GlobeCom, etc. He is the recipient of the Best Paper Award of Chinacom 2008. He has published more than 130 research papers in proceedings and journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, etc., (Email:yhzhu@zjut.edu.cn)
Received Date: 2018-01-29
Rev Recd Date: 2018-03-14
Publish Date: 2019-07-10

Abstract

Abstract

It is critical to design a reliable packet transmission scheme to improve throughput in Energy harvesting Wireless sensor network (EH-WSN) or Battery free Wireless sensor network (BF-WSN). We present the Optimal size and rate (OSR) scheme to improve throughput of communication links in the IEEE 802.15.4 based BF-WSN that harvests radio frequency energy. Based on the defined truncated geometrical distribution, we formulate the optimization problem that maximizes the effective throughput of communication link. The solution of the optimization problem yields the optimal triple, namely the optimal packet size, data rate, and Maximum number of transmission trials (MNTT), which is used in the OSR so that throughput is considerably improved. Simulation results show the OSR scheme can improve throughput.
- Wireless sensor network,
- Energy harvesting Wireless sensor network,
- Data delivery,
- Throughput

FullText(HTML)

References(22)

References

IEEE Std 802.15.4TM-2011, IEEE Standard for Local and Metropolitan Area Networks-Part 15.4: Low Rate Wireless Personal Area Networks(LR-WPANs).

IEEE Std 802.15.4gTM-2012, IEEE Standard for Local and metropolitan area networks — Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 3: Physical Layer (PHY) Specifications for Low Data-Rate, Wireless, Smart Metering Utility Networks.

D. Niyato, D.I. Kim, M. Maso, et al., “Wireless powered communication networks: Research directions and technological approaches”, IEEE Wireless Communications, Vol.24, No.6, pp.88–97, 2017.

ISO-IEC_CD 18000-6C:2005, Specification for RFID Air Interface.

J. Su, Y. Ren, Y. Yang, et al., “A collision arbitration protocol based on specific selection function”, Chinese Journal of Electronics, Vol.26, No.4, pp.864–870, 2017.

X. Zhang and L. Zhang, “Research on passive RFID system adaptive frame slot anti-collision algorithm”, Acta Electronica Sinica, Vol.44, No.9, pp.2211–2218, 2016. (in Chinese)

J. Park, J.A. Jun and B.C. Choi, “A method of connecting batteryless devices to the IP networks”, 2014 International Conference on Information and Communication Technology Convergence(ICTC), Busan, South Korea, pp.22–27, 2014.

B. Ma, B. Chen, S. LI, et al., “Basic analysis of two-coils structure based on magnetically-coupled resonant technology for SWIPT application”, Chinese Journal of Electronics, Vol.24, No.2, pp.852–856, 2015.

R.G. Cid-Fuentes, M.Y. Naderi, S. Basagni, et al., “On signaling power: Communications over wireless energy”, IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications, San Francisco, CA, USA, pp.1–9, 2016.

D. Michelon, E. Bergeret, A.D. Giacomo, et al., “RF energy harvester with sub-threshold step-up converter”, 2016 IEEE International Conference on RFID, Orlando, FL, USA, pp.1–8, 2016.

Y.J. Kim, H.S. Bhamra, J. Joseph, et al., “An ultra-low-power RF energy-harvesting transceiver for multiple-node sensor application”, IEEE Transactions on Circuits and Systems Ⅱ: Express Briefs, Vol.62, No.11, pp.1028–1032, 2015.

W. Ejaz, M. Naeem, M. Basharat, et al., “Efficient wireless power transfer in software-defined wireless sensor networks”,IEEE Sensors Journal, Vol.16, No.20, pp.7409–7420, 2016.

Y.H. Zhu, E. Li and K. Chi, “Encoding scheme to reduce energy consumption of delivering data in radio frequency powered battery-free wireless sensor networks”, IEEE Transactions on Vehicular Technology, DOI:10.1109/TVT.2017.2776170, 2017.

J.J. Lohith and S.B. Cahkravarthi, “Intensifying the lifetime of wireless sensor network using a centralized energy accumulator node with RF energy transmission”, 2015 IEEE International Advance Computing Conference(IACC), Banglore, India, pp.180–184, 2015.

Y.H. Zhu, S. Qiu, K. Chi, et al., “Latency aware IPv6 packet delivery scheme over IEEE 802.15.4 based battery-free wireless sensor networks”, IEEE Transactions on Mobile Computing, Vol.16, No.6, pp.1691–1704, 2017.

A. Mehrabi and K. Kim, “General framework for network throughput maximization in sink-based energy harvesting wireless sensor networks”, IEEE Transactions on Mobile Computing, Vol.16, No.7, pp.1881–1896, 2017.

A. Biason and M. Zorzi, “Battery-powered devices in WPCNs”, IEEE Transactions on Communications, Vol.65, No.1, pp.216–229, 2017.

L. Guntupalli, F.Y. Li and M. Gidlund, ”Energy harvesting powered Packet transmissions in duty-cycled WSNs: A DTMC analysis”, 2017 IEEE Global Communications Conference (GLOBECOM 2017), Singapore, pp.1–6, 2017.

A. Meer, A. Daghistani and B. Shihada, “An energy efficient hybrid interference-resilient frame fragmentation for wireless sensor networks”, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, China, pp.1024–1029, 2015.

M.A. Landolsi and W.E. Stark, “On the accuracy of Gaussian approximations in the error analysis of DSCDMA with OQPSK modulation”, IEEE Transactions on Communications, Vol.50, No.12, pp.2064–2071, 2002.

Z.A. Eu, H.P. Tan and W.K.G. Seah, “Opportunistic routing in wireless sensor networks powered by ambient energy harvesting”, Computer Networks, Vol.54, No.17, pp.2943–2966, 2010.

Shedom M. Ross, A First Course in Probability, Pearson Education, Inc., 2007.

Relative Articles

Supplements(0)

Cited By

Proportional views