Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Muoghalu, C. N.
- Effect of Increasing Node Density on Performance of Threshold-sensitive Stable Election Protocol
Abstract Views :149 |
PDF Views:1
Authors
Affiliations
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Electrical and Electronic Engineering, Auchi Polytechnic, Auchi, NG
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Electrical and Electronic Engineering, Auchi Polytechnic, Auchi, NG
Source
International Journal of Advanced Networking and Applications, Vol 13, No 6 (2022), Pagination: 5183-5187Abstract
Wireless Sensor Network (WSN) has become an interesting field of research even as its technology is being used largely in Internet of Things (IoTs) and many areas of human endeavour such as civil surveillance, medical diagnosis and so on. This has attracted several research interest including improving the routing and energy efficiency of the sensor nodes in the network to prolong the life of the nodes and the entire system robustness. Hence, many routing protocols have been proposed to improve sensor networks. Nevertheless, most of the proposed protocols are implemented with just some 50 to 100 sensor nodes without considering the efficiency or effectiveness of these protocols in terms of increasing number of nodes per sensor network area (field). In this paper, the effect of increasing node density on performance of Threshold-sensitive Stable Election Protocol (TSEP) is presented. The number of nodes in sensor network of (100 × 100) square metre area was varied from 50, 100, 500, and 1000. The simulation study revealed that increasing the node density increased the number of node alive and throughput performance of TSEP. However, this came with a price as the simulation time was prolonged and the computational complexity increased. Generally, the essential take away or contribution of this paper was to examine the effectiveness of TSEP as the number of nodes per field (or area) in the network is increased, and the simulations conducted revealed that the performance efficiency of the routing protocol drops in terms of computational flexibility and capacity as the node density increases.Keywords
Node Density, Number of Nodes, TSEP, WSN.Full Text
References
- P. Ramesh, and S. Kruba, A comparative study on various routing protocols of wireless sensor network, International Journal of Advanced Networking and Application, Special Issue, 2015, 202–205.
- Team Tesca, What is wireless sensor network, and types of WSN? May 21, 2021. https://www.tescagloabl.com/blog/what-is-wirelesssensornetwork-and-types-of-wsn/
- A. Kashaf, N. Javaid, A. Khan, and T. A. Khan, TSEP: Threshold-sensitive Stable Election Protocol for WSNs, arXiv:1212.4092v1 [cs.NI] 17 Dec 2012. http://arxiv.org/abs/1212.4092v1
- H. S. Bazzi, A. M. Haidar, and A. Bilal, Classification of routing protocols in wireless sensor network, Conference Paper, ICCAAD, IEEE, 2015.
- W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy efficient communication protocol for wireless sensor networks, in: Proceeding of the Hawaii International Conference System Sciences, Hawaii, January 2000.
- S. Saidarao, and R. A. R. C. Sekhar, Proactive and reactive routing protocols in wireless sensor networks, International Journal of Advanced Research in Science, Engineering and Technology, 4(1), 2017, 3126–3135.
- R. V. Biradar, V. C. Patil, S. R. Sawant, and R. R. Mudholkar, Classification and comparison of routing protocols in wireless sensor networks, UbiCC Journal,4, Special Issue on Ubiquitous Computing Security Systems.
- B. Krishnamachari, D. Estrin, S. Wicker, Modeling data centric routing in wireless sensor networks, in the Proceedings of IEEE INFOCOM, New York, June 2002
- N. A. M. Alduais, L. Audah, A. Jamil, and J. Abdullah, Study the effect of number of nodes in large scale wireless sensor networks with design GUI supporttools, ARPN Journal of Engineering and Applied Sciences, 11(22), 2016, 13259–13264.
- R. Chowdhuri, and M. K. D. Barma, Investigating performance of routing protocols for wireless sensor networks, in: Proceeding of International Conference on Computational Intelligence & IoT (ICCIIoT), 2018.
- G. Tuna, and R. Daş, The impact of increasing number of nodes on the performance of well-known trust and reputation models for wireless sensor networks, Electrica, 20(1), 2020, 10-18. DOI: 10.5152/electrica.2020.19086
- M. S. Talib, Minimizing the energy consumption in wireless sensor networks, Journal of University of Babylon, Pure and Applied Sciences, 26(1), 2018, 17 – 27.
- H. H. El-Sayed, Effects of number of nodes and network area size parameters on WSN protocols performances, International Journal of Advanced Networking and Applications, 11(2), 2019, 4244–4251.
- S. Khan, F. Faisal, F. A. Khan, R. MD Noor, Z. U. Matiullah, M. Shoaib, F. U. Masood, Effect of increasing number of nodes on performance of SMAC, CSMA/CA and TDMA in MANETs, International Journal of Advanced Computer Science and Applications, 9(2), 2018, 294–299.
- State Variable Feedback Control of Data Centre Temperature
Abstract Views :116 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronic Engineering Technology, Covenant Polytechnic, Aba, NG
2 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
3 Department of Electrical and Electronic Engineering, Ken-Saro-Wiwa Polytechnic, Rivers State, NG
4 Department of Electrical and Electronic Engineering, Imo State Polytechnic, Umuagwo, NG
1 Department of Electrical and Electronic Engineering Technology, Covenant Polytechnic, Aba, NG
2 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
3 Department of Electrical and Electronic Engineering, Ken-Saro-Wiwa Polytechnic, Rivers State, NG
4 Department of Electrical and Electronic Engineering, Imo State Polytechnic, Umuagwo, NG
Source
International Journal of Advanced Networking and Applications, Vol 14, No 1 (2022), Pagination: 5250-5257Abstract
This paper presents temperature control and estimation using full state feedback controller with observer mechanism (FSFBCOM) in data centre. The temperature dynamic of a data centre was obtained in the form of transfer function and transformed into state space model. The system was initially modelled in MATLAB as an open loop system and simulation test was conducted to study the temperature characteristic performance of data centre without controller. The transient and steady state performance was presented in terms of time domain parameters: rise time, settling time, percentage overshoot, final value, and steady state error. The simulation result of the open loop system indicated a rise time of 1.41 min. (84.8 s), percentage overshoot of 0%, settling time of 2.68 min. (161 s), and final value to unit input is 10 °C, and steady state error of -9 °C. Simulation conducted when the designed FSFBCOM was introduced into the system showed that the performance parameters: rise time, percentage overshoot, settling time, final value, and steady state error became 0.41 min. (24.456 s), 0.232%, 0.8594 min. (51.564 s), 1 °C, and 0 °C respectively. Thus, the addition of the designed controller has improved the computer room temperature response performance of data-centre and provided good temperature estimation capacity even for different temperature values required of a data-centre.Keywords
Data Centre, Full State Feedback Controller, State Variable, Temperature.Full Text
References
- C. Gough, I. Steiner, and W. A. Saunders, Energy efficient servers: blueprints for data center optimization. New York: Apress Media, 2015.
- M. K. Patterson, The effect of data center temperature on energy efficiency. In: 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems. IEEE Xplore, 2008, pp. 1167-1174. DOI: 10.1109/ITHERM.2008.4544393.
- J. Deng, L. Yang, X. Cheng, and W. Liu, Self-tuning PID-type fuzzy adaptive control for CRAC in datacenters. In: 7th International Conference on Computer and Computing Technologies Agriculture (CCTA). Beijing: 2013, pp. 215-225. DOI: 10.1007/978-3-642-54344-9_27.
- N. M. S. Hassan, M.M.K. Khan and M.G. Rasul, Temperature monitoring and CFD analysis of data centre. In: 5th BSME International Conference on Thermal Engineering. Procedia Engineering, Elsevier, 2013, pp. 551-559. DOI: 10.1016/j.proeng.2013.03.159.
- D. King, The benefits of supply air temperature control in the datacenter. Future Facilities Limited, 2010. Available at: https://www.futurefacilities.com/resources/whitepapers/the-benefits-of-supply-air-temperature-control-in-the-datacenter/download
- C. Lee, and R. Chen, Optimal self-tuning PID controller based on low power consumption for a server fan cooling system. Sensors. 2015, vol. 2015, iss.15, pp. 11685-11700. DOI: 10.3390/s150511685.
- N. Lazic, T. Lu, C. Boutilier, M. Ryu, E. Wong, B. Roy, and G. Imwalle, Data center cooling using model-predictive control. In: 32nd Conference on Neural Information Processing Systems (NeurIPS, 2018). Montréal, Canada, 2018, pp. 1-10.
- J. Cho, B. Park, and Y. Jeong, Thermal performance evaluation of a data center cooling system under fault conditions. Energies. 2019, vol. 12, iss. 2996, pp. 1-16. DOI: 10.3390/en12152996.
- I. J. Nagrath, and M. Gopal, Control Systems Engineering. New Delhi, New: Age international Publishers, 2005. ISBN: 81-224-1700-0.
- F. Bakhshande, Observer-Based Robust Nonlinear Control Design. Duisburg, 2018. Thesis. University of Duisburg-Essen. Supervisor: Dirk Söffker.
- G. G. Suh, D. S. Hyun, J. Park, K. D. Lee and S. G. Lee, Design of a Pole placement controller for reducing oscillation and settling time in a two-inertia motor system. In: IECON’01. 27th Annual Conference of the IEEE Industrial Electronics Society. (Cat. No. 37243). IEEE Xplore, vol. 1, 2001, pp. 615-620. DOI: 10.1109/IECON.2001.976556.
- K. Zenger, and R. Ylinen, Pole placement of time-varying state space representations. In: Proceedings the 44th IEEE Conference on Decision and Control. IEEE Xplore,, 2005, pp. 6527-6532. DOI: 10.1109/CDC.2005.11583209.
- F. M. Rahmat, and S. M. Ramli, Servomotor control using direct digital control and state-space technique. Jurnal Teknologi. 2008, vol. 49, no. 1, 45–60. DOI: 10.1113/JT.V49.196.
- K.-K. Shyu, C.-K. Lai and J. Y. Hung, Totally invariant state feedback controller for position control of synchronous reluctance motor. In: IEEE Transaction on Industrial Electronics. 2001, vol. 48, no. 3, pp. 615-624. https://doi.org/10.1109/41.925589.
- N. S. Nise, Control Systems Engineering. Hoboken, NJ: Wiley, 2004. ISBN 0-471-44577-0.
- J. P. Anderson, State-space modelling, system identification and control of a 4th order rotational mechanical system. Monterey, 2009. Thesis, Naval Postgraduate School. Supervisor: Xiaoping Yun.
- MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review
Abstract Views :74 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronic Engineering, ChukwuemekaOdumegwuOjukwu University, Uli, Nigeria., NG
2 Electrical and Electronic Engineering, Auchi Polytechnic, Auchi, Nigeria., NG
1 Department of Electrical and Electronic Engineering, ChukwuemekaOdumegwuOjukwu University, Uli, Nigeria., NG
2 Electrical and Electronic Engineering, Auchi Polytechnic, Auchi, Nigeria., NG
Source
International Journal of Advanced Networking and Applications, Vol 14, No 4 (2023), Pagination: 5572-5581Abstract
The use of multiple antennas in wireless communication systems has resulted in multiple channels that facilitate the speed of data transfer and improved channel capacity. This technique that basically involves multiple input and multiple output (MIMO) antennas helps to improve system performance by reducing bit error rate (BER) while increasing signal to noise ratio (SNR). Also, the use of orthogonal frequency division multiplexing (OFDM) has helped in mitigating inter-symbol interference (ISI). A combination of MIMO and OFDM produces the MIMO-OFDM scheme. This paper reviewed the performance of BER in MIMO-OFDM system considering various digital modulation techniques. An empirical review of previous studies on MIMO-OFDM system regarding BER performance evaluation was carried out. The study demonstrated the performance of digital modulation schemes in OFDM system with respect the Quadrature Amplitude Modulation (QAM). The results of the simulation based on MATLAB code revealed that lower order modulation yielded better BER performance than higher order. Furthermore,MIMO-OFDM system was modeled in MATLAB/Simulink and simulated to show that the use of multiple antennas at the transmitter and receiver helps in improving the performance of wireless communication system by reducing BER while increasing SNRconsidering two multipath channels – Rayleigh and Rician.Keywords
Bit Error Rate, MIMO, MIMO-OFDM, OFDM, Signal to Noise Ratio.Full Text
References
- J. Tewari and H. M. Sigh, Performance comparison of digital modulation techniques used in wireless communication system, International Journal of Innovative Research in Computer and Communication Engineering, vol. 4, Issue 7, pp. 12425 – 12431, July 2016.
- R. Mahalakshmi, Performance Evaluation of Various Digital Modulation Schemes for an Efficient Wireless Mobile Communication System, International Research Journal of Engineering and Technology, vol. 5, no. 9, pp. 381-384, 2018.
- M. Barnela Digital Modulation Schemes Employed in Wireless Communication: A Literature review, International Journal of Wired and WirelessCommunications, vol. 2, no. 2, pp. 34-38, 2014.
- B. Sklar, and R. P. Kumar, Digital communications: Fundamental and Applications, second edition, Pearson Education, 2013.
- G. J. Proakis, Digital Communications, fourth edition, McGraw-Hill, 2001.
- B. R. Alade., Performance of a MIMO-OFDM System to Different Modulation Schemes in AWGN and Rayleigh Channels using Simulink,International Journal of Engineering Research & Technology, vol. 3, no. 9, pp. 1512-1522, September 2014.
- L. Zheng , and N. C. Tse, .Diversity and Multiplexing: A Fundamental Tradeoff in MultipleAntenna Channel,IEEE Transactions on Information Theory, vol. 49, pp. 1073-1096.
- R. Jr. Heath, and A. Paulraj, Switching between multiplexing and diversity based on constellation distance, in Proc. Allerton Conf. Communication, Control andComputing, Monticello, IL, 2000.
- J. Xiao, Analysis of OFDM MIMO, Master Thesis, San Diego State University, 2010.
- K. Baum, B. Classon and P. Sartori, Principles of Broadband OFDM Cellular System Design, Hoboken, NJ: John Willey & Sons, 2010.
- A. C. Brooks, and S. J. Hoelzer, Design and simulation of orthogonal frequency division multiplexing (OFDM) signaling, Final Report, May 15, 2001.
- X. Li, and F. Ng, Using cyclic prefix to Mitigate Carrier Frequency and TimingAsynchronism in Cooperative OFDM Transmissions, in ACSSC ’06, FortiethAsilomar Conference on Signals, Systems and Computers, 2006.
- S. O. Ajose, L. A. Imozie, and M. O. Obiukwu, Bit Error Rate Analysis of Different Digital Modulation Schemes in Orthogonal Frequency Division Multiplexing Systems,Nigerian Journal of Technology,vol. 37, no. 3, pp. 727-734, 2018.
- Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM wireless communications with MATLAB, John Wiley & Sons (Asia) Pte Ltd, Singapore, 2010
- S. A. Oyetunji and D. T. Ale, Performance evaluation of digital modulation techniques in multi path communication channel interface air, international Journal of Engineering and innovative Technology, vol. 2, Issue 12, pp. 61 – 66, June 2013.
- N. Achra, G. Mathur, and R. P. Yadav, Performance Analysis of MIMO OFDM System for Different Modulation Schemes under Various Fading Channels. International Journal of Advanced Research in Computer and Communication Engineering, vol. 2, Issue 5, pp. 2098-2103, May 2013.
- R. Bhagya, and A. G. Ananth, MIMO Performance on Wi-Max Networks for Different Modulation Schemes, International Journal of Advance Engineering and Research Development, vol. 1, Issue 8, pp. 17-25, August 2014.
- J. Akhtar, I. M. Reja, Md. Al Amin, and S. Md. Rahman, A Comprehensive Performance Analysis of MIMO-OFDM Technology Using Different MIMO Configurations and M-QAM Modulation Schemes for LTE Cellular Network, Modern Applied Science, vol. 12, no. 4, pp. 118-127, 2018.
- Veeranna, D. and R. Nidhi, Performance analysis on different modulation techniques of MIMO multipath fading channel, IOSR Journal of Engineering, vol. 2, pp.738 – 743, April 2012.
- M. Chandel, and M. Gautam, Performance analysis of MIMO OFDM system under different fading channels, International Journal of Engineering Science and Computing, vol. 8, no. 5, pp. 17706 – 17709, May 2018.
- R. Rathore, and P. B. Sharma, Performance Analysis of Different Modulation Techniques for OFDM System,International Journal of Scientific Research Engineering & Technology ICRTIET-2014 Conference Proceeding, pp. 95-99, August 2014.
- N. F. O. Philip-Kpae, and B. O. Omijeh, Bit Error Rate and Signal to Noise Ratio Performance Evaluation of OFDM System with QPSK and QAM M-array Modulation Scheme in Rayleigh, Rician and AWGN Channel Using MATLAB/Simulink,Innovative Systems Design and Engineering, vol. 8, no. 4, pp. 1-9, 2017.
- A. Ogale, Chaudhary, S., and A. J. Patil, Performance evaluation of hybrid MIMO-OFDM system using Matlab® Simulink with Real Time Image Input, International Journal of Scientific & Engineering Research, Vol. 4, Issue 5, pp. 1675 – 1680., May 2013.
- S. T. Manju, and S. Dessai, Design, implementation and optimisation of 4×4 MIMO-OFDM receiver for communication, SAS Tech Journal, vol. 12, Issue 2, pp. 57-61, September 2013.
- A. Elsanousi, and S. Ozturk, Performance analysis of OFDM and OFDM-MIMO systems under fading channels, Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3249 – 3254, 2018.
- K. Devi, and R. Talwar, An enhanced approach of MIMO-OFDM data transfer by varying user location optimized by machine and AI learning, Indian Journal of Science and Technology, vol. 10, no. 26, pp. 1-7, July 2017. DOI: 10.17485/ijst/2017/v10i26/115837.
- C. Nithiy, R. R. Kowsalya, and M. Prabakaran, Error control and performance analysis of MIMO-OFDM over fading channels, IOSR Journal of Electronics and Communication Engineering, vol. 6, Issue 4, pp. 12-18, May-June 2013.