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Ibrahim Abdullah, Md.
- A Key Management Technique to Secure Information Sharing of the Nodes within a Cluster of WSN
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Authors
Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
Source
International Journal of Knowledge Based Computer System, Vol 3, No 1 (2015), Pagination: 1-7Abstract
The nodes within a cluster of Wireless Sensor Network deployed in adverse areas face the security threats of eavesdropping and capturing. The fundamental issue in wireless sensor network security is to initialise secure communication between sensor nodes by setting up secret keys between communicating nodes. Because of limited hardware capacity, conventional network cryptography is infeasible for sensor network. In this paper a key management technique is proposed for clustered sensor network that uses some cryptographic operation to generate secret keys. This key is updated in response to the message of cluster head or base station. The key update instructions are stored in each sensor nodes before deployed in sensor field. The updated secret key is used to communicate between nodes and cluster head.Keywords
Sensor Network, Clustering Technique, Key Management, Authentication, Security.References
- Abuhelaleh, M A. (2010). Security in wireless sensor networks: Key management module in SOOAWSN. International Journal of Network Security & Its Applications, October, 2(4), 67-78.
- Akkaya, K., and Younis, M. (2005). A survey of routing protocols in wireless sensor networks. Ad Hoc Network Journal, 3(3), 325-349.
- Diop, A. (2014). An improved key management scheme for hierarchical wireless sensors networks. Indonesian Journal of Electrical Engineering, May, 12(5), 3969-3978.
- Du, W., Deng, J., Han, Y., Chen, S., & Varshney, P. (2004). A Key Management Scheme for Wireless Sensor Networks using Deployment Knowledge. In IEEE INFOCOM.
- Eschenaur, L., and Gligor, V. D. (2002). A Key Management Scheme for Distributed Sensors Networks. In Proceedings of the 9th ACM Conference on Computer and Communications Security, (pp. 4147). Washington, DC, USA: ACM Press.
- Heinzelman, W. R., Chandrakasan, A., and Balakrishnan, H. (2000). Energy Efficient Communication Protocol for Wireless Micro-sensor Networks. In Proceedings of the 33rd Hawaii International Conference on System Sciences.
- Hu, F., Siddiqi, W., and Sankar, K. (2007). Scalable security in Wireless Sensor and Actuator Networks (WSANs): Integration re-keying with routing. Computer Networks, 51, 285-308, Science Direct, Elsevier.
- Kaplantzis, S. (2006). Security Models for Wireless Sensor Networks.
- Karlof, C., and Wagner, D. (2003). Secure routing in sensor networks: Attacks and countermeasures. Ad Hoc Networks Journal, 1(2-3), 293-315.
- Kaur, G. (2015). Survey on various key management Schemes for LEACH in wireless sensor networks. International Journal of Advanced Research in Computer Science and Software Engineering, March, 5(3), 205-209.
- Laskar, T., and Jena, D. (2015). A secure key management scheme for hierarchical WSN. Computer Engineering and Intelligent Systems, 6(2), 30-36.
- Lec, J. C., Victor, C., and Leung, M. (2007). Key Management Issues in Wireless Sensor Networks: Current Proposals and Future Developments. In Proceeding of IEEE Wireless Communications, (pp. 76-78).
- Lindsey, S., and Raghavendra, C. S. (2002). PEGASIS: Power Efficient Gathering in Sensor Information Systems. In the Proceedings of the IEEE Aerospace Conference, Big Sky, Montana.
- Liu, D., and Ning, P. (2003). Efficient distribution of key chain commitments for broadcast authentication in distributed sensor networks. In Proceedings of the 10th Annual Network and Distributed System Security Symposium, (pp. 263-276), San Diego, California, February.
- MICA2: Crossbow Technologies. (2009). Retrieved from www.xbow.com/Products/Product_pdf_files/ Wireless_pdf/MICA2_Datasheet.pdf
- Patil, S. (2004). Performance Measurement of Ad Hoc Sensor Networks Under Threats. In IEEE Communications Society, Wireless Communications and Networking Conference (WCNC), Atlanta, USA.
- Perrig, A., Szewezyk, R., Tygar, J. D., Wen, V., and Culler, D. E. (2002). SPINS: Security protocols for sensor networks. Wireless Networking, 8(5), 521-534.
- Roosta, T., Shieh, S., and Sastry, S. (2006). Taxonomy of security attacks in sensor networks and counter-measures. Berkeley, California, University Press, 2006.
- Schneier, B. (1996). Applied cryptography. John Wiley and Sons (2nd ed).
- Watro, R., Kong, D., Cuti, S. Gardiner, C., Lynn, C., and Kruus, P. (2004). Tinypk: Securing Sensor Networks with Public Key Technology. In Proceedings of the 2nd ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN '04), pp. 59-64.
- Wu, J., and Stinson, D. R. (2011). Three Improved Algorithms for Multipath Key Establishment in Sensor Networks Using Protocols for Secure Message Transmission. In Proceeding of IEEE Transaction on Dependable and Secure Computing, November/December, 8(6), 785-797.
- Yongshegliu. (2011). PKC Based Broadcast Authentication using Signature Amortization for WSNs. In Proceeding of IEEE Transaction on Wireless Communications, June, 11(6), 581-587.
- Zia, T. A., and Zomaya, A. Y. (2006a). Security Issues in Wireless Sensor Networks. In the Proceedings of the International Conference on Systems and Networks (ICSNC’06), November, (pp. 2-4). Tahiti, French Polynesia.
- Zia, T. A., and Zomaya, A. Y. (2006b). A Security Framework for Wireless Sensor Networks. In Proceedings of the IEEE Sensor Applications Symposium SAS, February, pp. 7-9, Houston, Texas, USA.
- Study the Performance of Capacity for SISO, SIMO, MISO and MIMO in Wireless Communication
Abstract Views :471 |
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Authors
Diponkor Bala
1,
G. M. Waliullah
1,
Mst. Ashrafunnahar Hena
2,
Md. Ibrahim Abdullah
1,
Mohammad Alamgir Hossain
1
Affiliations
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
Source
Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 01-06Abstract
Due to the rapid development of the wireless communication system, it is highly required a reliable system which can provide higher channel capacity and higher data transmission rates for the users. These are obtained by the Multiple Input Multiple Output (MIMO) systems because the MIMO systems allow the spatial diversity and spatial multiplexing technique due to its multiple antennas at both transmitter and receiver side. The aim of this paper is to discuss and show the capacity performance between SISO, SIMO, MISO and MIMO systems. In this paper, we will mainly be focused on the MIMO system due to its higher capacity and higher data transmission rates properties. For these properties of the MIMO systems, it will be perfectly suitable for modern communication technology.Keywords
Channel Capacity, MIMO System, MISO system, SIMO System, SISO System, Wireless Communication.References
- D. Tse, and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, USA, 2005.
- T. Rapaport, Wireless Communications: Principles and Practice (2nd ed.), Prentice Hall PTR, USA, 2001.
- A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications (1st ed.), Cambridge University Press, USA, 2008.
- S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” In IEEE Journal on Selected Areas in Communications, vol. 16, no. 8, pp. 1451-1458, October 1998, doi: 10.1109/49.730453.
- A. D. Joshi, and H. H. Joshi, “Spatial diversity techniques for wireless communication - A comparative analysis,” International Journal of Latest Trends in Engineering and Technology, vol. 10, no. 3, pp. 93-97, May 2018. Available: https://www.ijltet.org/journal_details.php?id=932&j_id=4607
- A. Robertcalderbank, A. Constantinioles, A. Goldsmith, A. Paulraj, and H. Vincent Poor, Wireless Communication System, Cambridge University Press, 2007.
- F. Tramarin, S. Vitturi, M. Luvisotto, and A. Zanella, “The IEEE 802.11n wireless LAN for real-time industrial communication,” 2015 IEEE World Conference on Factory Communication Systems (WFCS), Palma de Mallorca, pp. 1-4, 2015, doi: 10.1109/WFCS.2015.7160568.
- A. Khan, and R. Vesilo, “A tutorial on SISO and MIMO channel capacities,” 2006.
- A. K. Sarangi, and A. Datta, “Capacity comparison of SISO, SIMO, MISO & MIMO systems,” 2018 Second International Conference on Computing Methodologies and Communication (ICCMC), pp. 798-801, Erode, 2018, doi: 10.1109/ICCMC.2018.8488147.
- K. Sengar, and N. Rani, “Study and capacity evaluation of SISO, MISO and MIMO RF wireless communication systems,” International Journal of Engineering Trends and Technology, vol. 9, no. 9, March 2014.
- A. F. Molisch, M. Z. Win, Y.-S. Choi, and J. H. Winters, “Capacity of MIMO systems with antenna selection,” In IEEE Transactions on Wireless Communications, vol. 4, no. 4, pp. 1759-1772, July 2005, doi: 10.1109/TWC.2005.850307.
- A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, “Capacity limits of MIMO channels,” In IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, June 2003, doi: 10.1109/JSAC.2003.810294.
- S. Taruna, and I. Kaur, “Performance analysis of MIMO for various antenna configurations,” 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, 2013, pp. 90-93, doi: 10.1109/ICGCE.2013.6823406.
- M. Tan, and J. Chen, “Comparison and analysis of MIMO channel capacity,” 2007 International Conference on Wireless Communications, Networking and Mobile Computing, pp. 299-301, Shanghai, 2007, doi: 10.1109/WICOM.2007.81.
- Y. S. Cho, J. Kim, W. Y. Yang, and C. G. Kang, MIMO-OFDM Wireless Communication with MATLAB, Wiley Publishing, 2010.
- T. K. Roy, “Capacity and performance analysis of Rayleigh Fading MIMO Channels using CSI at the transmitter side,” IJAR-CSIT, vol. 1, no. 3, July 2012.
- P. Rayi, and S. Chandra Ch, “Performance evaluation of channel capacity in MIMO system,” International Journal of Engineering Research and Applications (IJERA), vol. 1, no. 4, pp. 1871-1878, 2011.
- Performance Analysis of Zero Forcing and MMSE Equalizer on MIMO System in Wireless Channel
Abstract Views :373 |
PDF Views:0
Authors
G. M. Waliullah
1,
Diponkor Bala
1,
Mst. Ashrafunnahar Hena
2,
Md. Ibrahim Abdullah
1,
Mohammad Alamgir Hossain
1
Affiliations
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
2 Department of Electrical and Electronic Engineering, Islamic University, Kushtia, BD
Source
Journal of Network and Information Security, Vol 8, No 1&2 (2020), Pagination: 19-25Abstract
In wireless communication research multiple communication antennas are one of the major contexts. At present wireless communication is moving fast and the best example is MIMO. Wireless transmission is suffering from fading and interference effects which may be combated with equalizer. As a result of fading and interference, it creates a problem for signal recovery in wireless communication. The MIMO system uses Multiple Transmit and Multiple Receive antennas which take advantages of multipath propagation during a high distraction environment. This paper analyses the performance of Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizer for 2×2 and 4×4 MIMO wireless channels. By using MATLAB toolbox version 2015a simulation results can be got to the RF processing lab. The Bit Error Rate (BER) features for various communication antennas is simulated in the MATLAB toolbox and many merits and demerits of the system are discussed. The simulation results show that the equalizer based zero-forcing receiver is helpful for noise-free channel and is successful in removing ISI, but MMSE is an optimal choice than ZF in terms of BER characteristics.Keywords
ISI, Bit Error Rate (BER), BPSK, Maximal Ratio Combining (MRC), 2×2 MIMO channel, MIMO system, MMSE Equalizer, Signal to Noise Ratio (SNR), ZF Equalizer.References
- D. Gesbert, M. Shafi, D. Shiv, and P. J. Smith, “From theory to practice: An overview of MIMO space time coded wireless system,” IEEE Journal on Selected Areas in Communication, vol. 21, no. 3, pp. 281-301, 2003.
- X. Zhang, and S. Kung, “Capacity analysis for parallel and sequential MIMO equalizers,” IEEE Transactions on Signal Processing, vol. 51, pp. 2989-3002, 2003.
- I. E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, November-December 1999.
- V. Tarokh, A. Naguib, N. Seshadri, and A. R. Calderbank, “Space-time codes for high data rate wireless communication: Performance criteria in the presence of channel estimation errors, mobility, and multiple paths,” IEEE Transactions on Communications, vol. 47, no. 2, pp. 199-207, 1999.
- J. Meiyan, J. Qian, Y. Li, G. Tan, and X. Li, “Comparison of multiuser MIMO systems with MF, ZF and MMSE receivers,” 2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013.
- T. Abdessalem, et al., “Performance analysis of ZF and MMSE equalizers for MIMO systems,” 7th International Conference on Design & Technology of Integrated Systems in the Nanoscale Era, IEEE, 2012.
- B. M. Hochwald, and T. L. Marzetta, “Unitary space-time modulation for multiple-antenna communication in Rayleigh flat fading,” IEEE Transactions on Information Theory, vol. 46, pp 543-564, March 2000.
- D. Malik, and D. Batra, “Comparison of various detection algorithms in a MIMO wireless communication receiver,” International Journal of Electronics and Computer Science Engineering, vol. 1, no. 3 pp. 1678-1685, 2012.
- A. J. Paulraj, D. Gore, R. Nabar, and H. Bolcskei, “An overview of MIMO communications – A key to gigabit wireless,” Proceedings of the IEEE, vol. 92, pp. 198-218, February 2004.
- J. Hoydis, C. Hoek, T. Wild, and S. ten Brink, “Channel measurements for large antenna arrays,” Proceedings of International Symposium on Wireless Communication Systems (ISWCS), pp. 811-815, August 2012.
- G. J. Foschini, D. Chizhik, M. Gans, C. Papadias, and R. A. Valenzuela, “Analysis and performance of some basic space-time architectures,” IEEE Journal on Selected Areas in Communications, vol. 21, pp. 303-320, April 2003.
- Y. Jiang, M. K. Varanasi, and J. Li, “Performance analysis of ZF and MMSE for MIMO systems: An in-depth of the high SNR regime,” IEEE Transactions on Information Theory, vol. 57, no. 4, April 2011.
- A. Kumar, and P. Vardhan, “Design, simulation & concept verification of 4×4, 8×8 MIMO with ZF, MMSE and BF detection schemes,” Electrical, Control and Communication Engineering, vol. 13, no. 1, pp. 69-74, 2017.
- N. Prasad, and M. K. Varanasi, “Analysis of decision feedback detection for MIMO Rayleigh fading channels and the optimization of rate and power allocations,” IEEE Transactions on Information Theory, vol. 50, pp. 1009-1025, June 2004.