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Journal articles on the topic 'Lr-wpan'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Si, Hai Fei, and Zhong Yang. "Wireless Sensor Network Programming Based on IEEE802.15.4." Advanced Materials Research 433-440 (January 2012): 3614–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3614.

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Wireless sensor network (WSN) requires a wireless communication technology which is low in cost, low in power and easy to be implemented. IEEE802.15.4 standard is the standard specially designed for low-rate wireless personal area network (LR-WPAN) and aimed at introducing an unified standard for the low-rate interconnection between different devices used by a person or in a home, focusing on low power consumption, low-rate transmission and low cost. Since LR-WPAN which is defined on the basis of standard IEEE802.15.4 is of great similarity with WSN, it could be used as communication platform for wireless sensor. This paper, based on the analysis of LR-WPAN, puts forward the WSN networking scheme based on IEEE802.15.4.

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2

Park, Mincheol, Dongchan Lee, Soohyun Jang, and Yunho Jung. "Design of Time Synchronizer for Advanced LR-WPAN Systems." Journal of Korea Navigation Institute 18, no. 5 (October 30, 2014): 476–82. http://dx.doi.org/10.12673/jant.2014.18.5.476.

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3

Lee, Dong-Chan, Soo-Hyun Jang, and Yun-Ho Jung. "Disign of Non-coherent Demodulator for LR-WPAN Systems." Journal of Korea Navigation Institute 17, no. 6 (December 30, 2013): 705–11. http://dx.doi.org/10.12673/jkoni.2013.17.6.705.

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4

Lee, Kang-Woo, Youn-Soon Shin, Gyu-Wan Hyun, Jong-Suk Ahn, and Hie-Cheol Kim. "An Analytical Model for LR-WPAN Performance in the Presence of Hidden Nodes." KIPS Transactions:PartC 16C, no. 1 (February 28, 2009): 133–42. http://dx.doi.org/10.3745/kipstc.2009.16-c.1.133.

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5

Cho, Moo-Ho. "Performance Analysis of Real-time Retransmission in LR-WPAN." Journal of the Korea Industrial Information Systems Research 16, no. 5 (December 30, 2011): 21–30. http://dx.doi.org/10.9723/jksiis.2011.16.5.021.

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6

Lee, Jong-Bae, and Seongsoo Lee. "Implementation of 868/915 MHz LR-WPAN Transceiver for IoT Systems." Journal of IKEEE 20, no. 1 (March 31, 2016): 107–10. http://dx.doi.org/10.7471/ikeee.2016.20.1.107.

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7

Choudhary, Neeraj, and Ajay K. Sharma. "Performance Evaluation of LR-WPAN for different Path-Loss Models." International Journal of Computer Applications 7, no. 10 (October 10, 2010): 22–28. http://dx.doi.org/10.5120/1284-1698.

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8

Kim, Woonhong, Yunho Jung, Seongjoo Lee, and Jaeseok Kim. "Low complexity demodulation scheme for IEEE 802.15.4 LR-WPAN systems." IEICE Electronics Express 5, no. 14 (2008): 490–96. http://dx.doi.org/10.1587/elex.5.490.

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9

HAN, S., S. LEE, S. LEE, and Y. KIM. "Channel Allocation Algorithms for Coexistence of LR-WPAN with WLAN." IEICE Transactions on Communications E91-B, no. 5 (May 1, 2008): 1627–31. http://dx.doi.org/10.1093/ietcom/e91-b.5.1627.

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10

Park, Sung-Woo. "An Adaptive Back-off Algorithm in Beacon-Enabled LR-WPAN." Journal of the Korea institute of electronic communication sciences 11, no. 8 (August 31, 2016): 735–42. http://dx.doi.org/10.13067/jkiecs.2016.11.8.735.

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11

Hwang, Kwang il, Sang Soo Yeo, and Jong Hyuk Park. "Multi-frame Beacon Management for constructing interference-avoided LR-WPAN." International Journal of Ad Hoc and Ubiquitous Computing 5, no. 3 (2010): 178. http://dx.doi.org/10.1504/ijahuc.2010.032230.

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12

Chang, Sekchin. "A signaling scheme for LR-WPAN systems in frequency-selective channels." IEICE Electronics Express 6, no. 16 (2009): 1186–91. http://dx.doi.org/10.1587/elex.6.1186.

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13

Lee, Seongjoo, H. Kwon, Y. Jung, and J. Kim. "Efficient non-coherent demodulation scheme for IEEE 802.15.4 LR-WPAN systems." Electronics Letters 43, no. 16 (2007): 879. http://dx.doi.org/10.1049/el:20070322.

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14

Akbari-Moghanjoughi, Ayyoub, Aduwati Sali, José Roberto Amazonas, Burhanuddin Mohd Ali, Shamala Subramaniam, and Sabira Khatun. "Tightly-Coupled Integrated LR-WPAN/WiMAX Network: Architecture and Performance Modelling." IERI Procedia 4 (2013): 59–67. http://dx.doi.org/10.1016/j.ieri.2013.11.010.

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15

Liu, WeiYang, JingJing Chen, XiaoDong Liu, HaiYong Wang, and NanJian Wu. "A 2.4 GHz low power CMOS transceiver for LR-WPAN applications." Science China Information Sciences 57, no. 8 (April 26, 2014): 1–13. http://dx.doi.org/10.1007/s11432-013-4981-8.

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16

Cheng, Cha-Keon, and Sung-Min Kang. "Improvement of IEEE 802.15.4b LR-WAPN Frequency Offset with Multiple Differential Filter." Journal of the Korea Contents Association 9, no. 2 (February 28, 2009): 10–17. http://dx.doi.org/10.5392/jkca.2009.9.2.010.

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17

García-Martín, Juan Pablo, and Antonio Torralba. "Model of a Device-Level Combined Wireless Network Based on NB-IoT and IEEE 802.15.4 Standards for Low-Power Applications in a Diverse IoT Framework." Sensors 21, no. 11 (May 26, 2021): 3718. http://dx.doi.org/10.3390/s21113718.

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With the development of the Internet of Things (IoT), Low Data Rate-Personal Area Networks (LR-WPAN) have been deployed for different applications. Now comes the need to integrate these networks in search of greater connectivity, performances, and geographic coverage. This integration is facilitated by the recent deployment of low power wide area networks (LPWAN) in the licensed bands, especially narrowband IoT (NB-IoT) and long-term evolution for machine-type communications (LTE-M), which are standardized technologies that will continue evolving as part of the fifth generation (5G) specifications. This paper proposes a design methodology for combined networks using LR-WPAN and LPWAN technologies. These networks are combined at the device level using a cluster-tree topology. An example is shown here, where an existing IEEE 802.15.4 network is combined with NB-IoT. To this end, new dual nodes are incorporated, acting as cluster heads. The paper discusses the different aspects of formation and operation of the combined network. A dynamic link selection (DLS) algorithm is also proposed, based on which cluster headers dynamically determine the preferred link, depending on link quality and type of traffic. Extensive simulations show that the DLS algorithm significantly increases battery life on dual nodes, which are the nodes with the highest power demands.

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18

Shi, Zuochen, Yintang Yang, and Di Li. "A low-power ADC with compact AGC loop for LR-WPAN receivers." Analog Integrated Circuits and Signal Processing 84, no. 1 (April 25, 2015): 9–18. http://dx.doi.org/10.1007/s10470-015-0549-4.

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19

HAN, J. S., and H. J. CHOI. "A Low-Complexity Frequency Offset Insensitive Detection for 2.45 GHz LR-WPAN." IEICE Transactions on Communications E91-B, no. 7 (July 1, 2008): 2205–13. http://dx.doi.org/10.1093/ietcom/e91-b.7.2205.

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20

Schoofs, Anthony, and Phillip Stanley-Marbell. "Portability in MAC protocol and transceiver software implementations for LR-WPAN platforms." Software: Practice and Experience 41, no. 4 (August 30, 2010): 339–61. http://dx.doi.org/10.1002/spe.1008.

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21

Kim, Jin-Woo, Jihoon Kim, and Doo-Seop Eom. "Multi-dimensional channel management scheme to avoid beacon collision in LR-WPAN." IEEE Transactions on Consumer Electronics 54, no. 2 (May 2008): 396–404. http://dx.doi.org/10.1109/tce.2008.4560105.

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22

Novosel, Leonard, Gordan Šišul, Željko Ilić, and Jelena Božek. "Performance enhancement of LR WPAN spread spectrum system using chaotic spreading sequences." AEU - International Journal of Electronics and Communications 118 (May 2020): 153131. http://dx.doi.org/10.1016/j.aeue.2020.153131.

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23

Park, Sung-Woo. "Joint Control of Duty Cycle and Beacon Tracking in IEEE 802.15.4 LR-WPAN." Journal of the Korea institute of electronic communication sciences 11, no. 1 (January 30, 2016): 9–16. http://dx.doi.org/10.13067/jkiecs.2016.11.1.9.

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24

Khan, Mohammad Irfan, Rajesh Jangid, and Rakesh Rathi. "An Adaptive Grouping Scheme for Avoiding Hidden Node Collision in IEEE 802.15.4 LR-WPAN." International Journal of Wireless and Mobile Communication for Industrial Systems 2, no. 1 (April 30, 2015): 17–24. http://dx.doi.org/10.21742/ijwmcis.2015.2.1.03.

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25

Shuangming, Yu, Feng Peng, and Wu Nanjian. "A low power non-volatile LR-WPAN baseband processor with wake-up identification receiver." China Communications 13, no. 1 (January 2016): 33–46. http://dx.doi.org/10.1109/cc.2016.7405702.

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26

Yong-Il Kwon, Sang-Gyu Park, Ta-Joon Park, Koon-Shik Cho, and Hai-Young Lee. "An Ultra Low-Power CMOS Transceiver Using Various Low-Power Techniques for LR-WPAN Applications." IEEE Transactions on Circuits and Systems I: Regular Papers 59, no. 2 (February 2012): 324–36. http://dx.doi.org/10.1109/tcsi.2011.2162463.

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27

Rahaman, Md Mohibur, Mohammad Khairul Islam, Kazi Ashrafuzzaman, and Mohammad Sanaullah Chowdhury. "Performance Evaluation of Different Backoff Algorithms in IEEE 802.15.4 using Double Sensing." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 2 (February 1, 2017): 376. http://dx.doi.org/10.11591/ijeecs.v5.i2.pp376-382.

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<p>The IEEE 802.15.4 is the standard for Low Rate Wireless Personal Area network (LR-WPAN). It is widely used in many application areas. The standard uses Slotted CSMA/CA mechanism in its contention access period (CAP) for the beacon enabled mode. The protocol has two modes - single sensing (SS) and double sensing (DS). The protocol also adopts a binary exponential backoff (BEB) algorithm. In this paper, we explore the saturation throughput, delay and energy consumption of this standard with double sensing (DS) using the existing BEB algorithm. We also investigate three other backoff schemes - exponential increase exponential decrease (EIED), exponential increase linear decrease (EILD) and exponential increase multiplicative decrease (EIMD). From simulation results, it is found that the EIED, EILD, EIMD perform better than the BEB for higher loads. It shows that the EIED, EILD, EIMD have better throughput and lower delay than the BEB. The EIED outperforms the other schemes in terms of throughput, delay and energy for the higher loads.</p>

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28

Sadek, Fatima Salma, Khaled Belkadi, Abdelhafid Abouaissa, and Pascal Lorenz. "Identifying Misbehaving Greedy Nodes in IoT Networks." Sensors 21, no. 15 (July 29, 2021): 5127. http://dx.doi.org/10.3390/s21155127.

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One of the central communication infrastructures of the Internet of Things (IoT) is the IEEE 802.15.4 standard, which defines Low Rate Wireless Personal Area Networks (LR- WPAN). In order to share the medium fairly in a non-beacon-enabled mode, the standard uses Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA). The nature of connected objects with respect to various resource constraints makes them vulnerable to cyber attacks. One of the most aggressive DoS attacks is the greedy behaviour attack which aims to deprive legitimate nodes to access to the communication medium. The greedy or selfish node may violate the proper use of the CSMA/CA protocol, by tampering its parameters, in order to take as much bandwidth as possible on the network, and then monopolize access to the medium by depriving legitimate nodes of communication. Based on the analysis of the difference between parameters of greedy and legitimate nodes, we propose a method based on the threshold mechanism to identify greedy nodes. The simulation results show that the proposed mechanism provides a detection efficiency of 99.5%.

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29

Khadim, Rania, Mohammed Erritali, and Abdelhakim Maaden. "Performance Study of IEEE 802.15.4 under OPNET Modeler for Wireless Sensor Networks." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (October 1, 2015): 98. http://dx.doi.org/10.11591/tijee.v16i1.1593.

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The IEEE 802.15.4 protocol has recently been adopted as a communication standard for low-rate wireless personal area networks (LR-WPANs) due to its low data rate, low power consumption and low cost of Wireless Personal Area Networks. This protocol is quite flexible for a wide range of applications if appropriate tuning of its parameters is carried out. Importantly, the protocol also provides real-time guarantees by using the Guaranteed Time Slot (GTS) mechanism. Indeed, the GTS mechanism is quite attractive for Wireless Sensor Network (WSN) applications. The main objective of this paper is to investigate the performance of BPSK (Binary phase shift keying) and QPSK (Quadrature phase shift keying) modulation techniques. Investigations have been reported to compare the performance of the two modulation schemes. Here modulation schemes have been identified which gives significant performance improvement over the other based on network output load, energy consumption and power reception at the WPAN devices. The results have been presented Pan_Coordinator, GTS and Non GTS End Device (CAP device) of Wireless Sensor Network (WSN).

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30

KOŚCIELNIK, Dariusz. "Simulation Study of the Influence of the Hidden and Exposed Stations for the Efficiency of IEEE 802.15.4 LR-WPAN Networks." Wireless Sensor Network 02, no. 01 (2010): 7–17. http://dx.doi.org/10.4236/wsn.2010.21002.

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31

Jayalekshmi, S., and R. Leela Velusamy. "GSA-RPI: GSA based Rendezvous Point Identification in a two-level cluster based LR-WPAN for uncovering the optimal trajectory of Mobile Data Collection Agent." Journal of Network and Computer Applications 183-184 (June 2021): 103048. http://dx.doi.org/10.1016/j.jnca.2021.103048.

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32

Chen, Feng, Nan Wang, Reinhard German, and Falko Dressler. "Simulation study of IEEE 802.15.4 LR-WPAN for industrial applications." Wireless Communications and Mobile Computing, 2009, n/a. http://dx.doi.org/10.1002/wcm.736.

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33

., Subono, M. Udin Harun Al Rasyid, and I. Gede Puja Astawa. "Implementation of Energy Efficiency Based on Time Scheduling to Improve Network Lifetime in Wireless Body Area Network (WBAN)." EMITTER International Journal of Engineering Technology 3, no. 2 (April 7, 2016). http://dx.doi.org/10.24003/emitter.v3i2.43.

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ZigBee applications of IEEE 802.15.4 Wireless Sensor Network (WSN) with Low Rate Wireless Personal Area Network (LR-WPAN) can be integrated with e-health technology Wireless Body Area Network (WBAN). WBAN are small size and can communicate quickly making it easier for people to obtain information accurately.WBAN has a variety of functions that can help human life. It can be used in the e-health, military and sports. WBAN has the potential to be the future of wireless communication solutions. WBAN use battery as its primary power source. WBAN has limited energy and must be able to save energy consumption in order to operate for a long time. In this study, we propose a method of time scheduling called cycle sleep period (CSP) as WBAN solutions to save energy and improve energy efficiency. The CSP method is implemented in the real hardware testbed using sensor e-health includes temperature body and current sensor. We compared the performance of CSP method with duty cycle management (DCM) time scheduling-based and without using time scheduling.From the measurement results, our proposed idea has decreasingenergy consumption.Keywords: WSN, LR-WPAN, WBAN, e-health, Time Scheduling

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