i-manager Publications

i-manager's Journal on Communication Engineering and Systems (JCS)

Current Issue Vol. 12 Issue 2

Most Cited

Volume 4 Issue 1 November - January 2015

Research Paper

Development and Performance Evaluation of a Novel Dual EuclideanAlgorithm for Secure Data Communication in Smart Grid

R. Vijayanand,* , D. Devaraj, B. Kannapiran*, K. Kartheeban****

* Research Scholar, Department of CSE, Kalasalingam University, Tamilnadu, India.

Professor and Head, Department of EEE, Kalasalingam University, Tamilnadu, India.

*Associate Professor and Head, Department of ICE, Kalasalingam University, Tamilnadu, India.

**** Associate Professor, Department of CSE, Kalasalingam University, Tamilnadu, India.

Vijayanand, R., Devaraj, D., Kannapiran, B., and Kartheeban, K. (2015). Development and Performance Evaluation of a Novel Dual Euclidean Algorithm for Secure Data Communication in Smart Grid. i-manager’s Journal on Communication Engineering and Systems, 4(1), 1-7. https://doi.org/10.26634/jcs.4.1.3289

Abstract

Smart Grid is the integration of Electrical and Communication network in which data and power flows bi-directionally. The activity of a Smart Grid heavily depends on the instant electrical data received through the communication network. The massiveness of devices and direct communication with the end user makes the Smart Grid infrastructure easily prone to attacks. A slight modification in the data by an unauthorized person may destruct the entire grid. Characteristics like vast data generation, complexity, prompt speed and large geographical distribution area limits the existing security algorithms from being used in the communication network of the Smart Grid. In this paper, we propose an efficient security algorithm using Dual Euclidean algorithm along with its key management technique for Smart Grid application. The proposed algorithm uses two keys to encrypt the data which provides NP-hard complexity and the adversary cannot reveal the original data without knowing both the keys. The performance and security of the proposed algorithm are evaluated and compared with AES algorithm. The simulation results demonstrate that proposed algorithm is suitable for Smart Grid applications.

References

[1]. Loi Lei Lai, Hao Tian Zhang, Chun Sing Lai, Fang Yuan Xu and Sukumar Mishra (2013). “Investigation on July 2012 Indian Blackout”, Proceedings of the 2013 International Conference on Machine Learning and Cybernetics, Tianjin, Vol.1, pp.92-97.

[2] Vinod Namboodiri, Visvakumar Aravinthan, Surya Narayan Mohapatra and Ward Jewel (2014). “Toward a Secure Wireless-Based Home Area Network for Metering in Smart Grids”, IEEE Systems Journal, Vol. 8, No.2, pp.509- 520.

[3]. Vehbi C. Gungor, Dilan Sahin, Salih ergut, Concettina Buccella, Carlo cecati and Gerhard P. Hancke (2011). “Smart Grid Technologies: Communication Technologies and Standards”, IEEE Transaction on Industrial Information, Vol. 7, No. 4, pp.529-539.

[4]. Ahmad Usman, Sajjid Haider Shami (2012). “Evolution of Communication Technologies for Smart Grid applications”, Renewable and Sustainable Energy Reviews, Elsevier, Vol.19, pp.191-199.

[5]. Ye Yan, Yi Quan, Hamid Sharif and David Tipper (2012). “A Survey on Cyber Security for Smart Grid Communications”, IEEE Communications Surveys and tutorials, Vol.14, No.4, pp.998-1010.

[6]. Jing Liu, Yang Xiao, Shuhui Li, Wei Liang and C. L. Philip Chen (2012). “Cyber Security and Privacy Issues in Smart Grids”, IEEE Communications Surveys and Tutorials, Vol.14, No.4, pp.981-997.

[7]. Junboem Hur (2013). “Improving Security and Efficiency in Attribute-Based Data Sharing”, IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No. 10, pp.2271-2282.

[8]. Junbeom Hur (2013). “Attribute Based Secure Data Sharing with Hidden Policies in Smart Grid”, IEEE Transaction on Parallel and Distributed Systems, Vol.24, No.11, pp.2171-2180.

[9]. Zubair Md. Fadlullah, Nei Kato, Rongxing Lu, Xuemin Shen, Yousuke Nozaki (2012). ”Toward Secure Targeted Broadcast in Smart Grid”, IEEE Communications Magazine, Vol.50, No. 5, pp.150-156.

[10]. K. Kartheeban and M. Venkatesulu (2010). “EAB – Euclidean Algorithm Based Key Computation Protocol for Secure Group Communication in Dynamic Grid Environment”, International Journal of Grid and Distributed Computing, Vol. 3, No. 4, pp.45-56.

[11]. Ting Liu, Yang Liu, Yashan Mao, Yao Sun, Xiaohong Guan, Weibo Gong and Sheng Xiao (2014). “A Dynamic Secret-Based Encryption Scheme for Smart Grid Wireless Communication”, IEEE Transactions on Smart Grid, Vol. 5, No. 3, pp.1175-1182.

[12]. Nian Liu, Jinshen Chen, Lin Zhu, Jianhua Zhang and Yanling He (2013). “A key Management Scheme for Secure Communications of Advanced Metering Infrastructure in Smart Grid”, IEEE Transactions on Industrial Electronics, Vol. 60, No. 10, pp.4746-4756.

[13]. Ye Yan, Rose Qingyang Hu, Sajal K.Das, Hamid Sharif and Yi Qian (2013). “An Efficient Security Protocol for Advanced Metering Infrastructure in Smart Grid”, IEEE Network, Vol.27, No.4, pp.64-71.

[14]. Emilio Ancillotti, Raffaele Bruno and Marco Conti (2013). “The role of Communication Systems in Smart Grids: Architectures, technical solutions and Research Challenges”, Computer Communications, Vol.36, No.18, pp.1665-1697.

[15]. Weixiao Meng, Ruofei Ma and Hsiao-Hwa Chen (2014). “Smart Grid Neighborhood Area Networks: A Survey”, IEEE Network, Vol.28, No.1, pp.24-32.

[16]. Nikos Komninos, Eleni Philippou and Andreas Pitsillides (2014). “Survey in Smart Grid and Smart Home Security: Issues, Challenges and Countermeasures”, IEEE Communication Surveys & Tutorials, Vol. 16, No. 4, pp.1933-1954.

[17]. Saurabh Singh and Gaurav Agarwal (2010). “Use of Chinese Remainder Theorem to generate random numbers for Cryptography”, International Journal of Applied Engineering Research, Vol. 1, No. 1, pp.165-174.

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Research Paper

High Gain Multiband U-Slot Patch Antenna with Defected Ground Plane

Toolika Srivastava* , Chandan, B.S. Rai*

* PG Scholar, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

Research Scholar, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

* Professor, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

Srivastava, T., Chandan, and Rai, B. S. (2015). High Gain Multiband U-Slot Patch Antenna with Defected Ground Plane. i-manager’s Journal on Communication Engineering and Systems, 4(1), 8-12. https://doi.org/10.26634/jcs.4.1.3290

Abstract

In this paper, a single layer wideband, probe fed modified U-slot microstrip patch antenna is designed for four-band communication system. The proposed antenna has impedance bandwidth of 28.57%(1.2 -1.4 GHz), 14.28%(2.6-3.03 GHz), 5.12%(5.7-6.05 GHz) and 8.9%(7.5-8.2 GHz) at center frequency 1.4 GHz, 2.8 GHz, 5.85 GHz, 7.85 GHz, with gain of 4dB, 10.4dB, 6.1dB, and 10dB. High gain of 10.4dB and 10dB is achieved at center frequency 2.8GHz and 7.85GHz respectively which is applicable for radar application and satellite application. The proposed antenna is designed on a single layer substrate Arlon AD250A with defected ground plane. Antenna is designed and simulated using HFSS v13 software.

References

[1]. R. Garg, P. Bhartia, I. Bahl and A. Ittipiboon, (2001). “Microstrip Antenna Design Handbook”, Boston, MA: Artech House.

[2]. T. Huynh and K. F. Lee, (1995). "Single-layer single-patch wideband microstrip antenna," Electron. Lett., Vol. 31, No. 16, pp. 1310-1312.

[3]. K.F. Tong, K.M. Luk, K.F. Lee and R.Q. Lee, (2000). "A broadband U-slot rectangular patch antenna on a microwave substrate," IEEE Trans. on Antenna Propag., Vol. 48, No. 6, pp. 954-960.

[4]. K.F. Lee, S.L.S. Yang, A.A.Kishk, (2008). "Dual- and multiband U-slot patch antennas," IEEE Antennas and Wireless Propag. Letters, Vol 7, pp. 645-648.

[5]. K.F. Lee, K.M. Luk, K.M. Mak and S.L.S. Yang, (2011). "On the use of U-slots in the design of dual- and triple-band patch antennas," IEEE Antennas Propag. Mag., Vol. 53, pp. 60-74.

[6]. Shou Liu,Shi-Shan Qi, Wen Wu, and Da-Gang Fang, (2014). "Single layer single patch Four band asymmetrical U-slot patch antenna," IEEE Trans. on Antenna and Propog., Vol.62, No.9,pp. 4895-4899.

[7]. A.K. Shackelford, K.F.Lee and K.M.Luk, (2003). "Design of small-size wide-bandwidth microstrip patch antennas," IEEE Antenna Propag. Magazine, Vol. 45, No.1, pp. 75-83.

[8]. A. Khidre, K.F.Lee, A.Z.Elsherbeni and Fan Yang, (2013). "Wide band dual-beam U-slot microstrip antenna," IEEE Trans. on Antennas and Propag., Vol. 61, No. 3, pp. 1415- 1418.

[9]. M.G.N. Alsath and M. Kanagasabai, (2014). "Planar pentaband antenna for vehicular communication application," IEEE Antennas and Wireless Propag. Let. Vol.13, pp. 110-113.

[10]. W.C.Mok, S.H.Wong, K.M.Luk and K.F.Lee, (2013). "Single-layer single-patch dual-band and triple-band patch antennas," IEEE Trans. on Antennas and Propag., Vol. 61, No. 8, pp. 4341-4344.

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Research Paper

Design of V-Slotted Ultra Wideband Compact Band Notch Microstrip Antenna in Wireless Telecommunication Applications

Rachaveti Praveen Krishna* , G. Guru Prasad**

*M.Tech Student, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India.

Krishna, R. P., and Prasad, G. G. (2015). Design of V-Slotted Ultra Wideband Compact Band Notch Microstrip Antenna in Wireless Telecommunication Applications. i-manager’s Journal on Communication Engineering and Systems, 4(1), 13-18. https://doi.org/10.26634/jcs.4.1.3291

Abstract

The ultra wideband (UWB) technology plays a major portrayal now a days. The ultra wideband (UWB) technology has encountered numerous significant advancements as of late. Then again, there are still more challenges in making this technology mainstream and open to its finest use. One specific challenge is the UWB antenna with notched bands. The late apportionment of the 3.1-10.6 GHz range by the Federal communications commission (FCC) in 2002 for Ultra Wide band applications, has displayed an appealing open doors and tackles for antenna designers in the field of wireless communications. As indicated by FCC definition, the technology which possesses greater than 500MHz of data transfer capacity, or greater than 25% of the operating centre frequency, is considered as ultra wideband. In this FCC allocation of frequency band for UWB applications, there are now a few narrow band communication systems existing, which might conceivably interfere with the UWB systems. Thus there is always necessity of design and advancement of UWB antenna with band-notched characteristic. This paper demonstrates recto-circular patch antenna with band notched characteristic which is suitable for ultra wideband (UWB) applications. The antenna with height of 1.5 mm and dielectric constant is used for design. Furthermore, fairly good radiation pattern, return loss and gain of antenna are presented, which shows that proposed antenna is well suited for distinctive UWB applications.

References

[1]. C.A. Balanis, (1997). “Antenna theory(Analysis and nd Design)”, 2 edition, New York: John Wiley and sons, inc.

[2]. Hsien-Wen Liu, Chia-Hao Ku, Te-Shun Wang, and Chang-Fa Yang, (2010). “Compact Monopole Antenna With Band-Notched Characteristic for UWB Applications,“ IEEE Antennas and Wireless Propagation Letters, Vol. 9, pp. 1536-1225.

[3]. S.Natarajamani1, S K Behera, & R K Mishra, (2009). “Design of Multi Slotted and Multi Frequency Patch Antenna”, Vol. 9, pp. 978-1-4244-4819-7.

[4]. Victor Bernard , John Paul Izuchukwu Iloh, (2013). “Microstrip Antenna Design Using Transmission Line Model,” ISSN 2250-2459, Vol. 3, No 11.

[5]. R. Garg, P. Bhartia, Bahl and A. Ittipiboon, (2001). “Microstrip antenna design handbook”, Artech House: New York.

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Research Paper

Attacker Detection for Cooperative Spectrum Sensing in Cognitive Radio Network: Using Cluster Reduction Technique

Pemma Venkata Sivadeep* , P. Venkatramana**

* PG Scholar, Communication Systems, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

** Professor and Head, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

Sivadeep, P. V., and Ramana, P. V. (2015). Attacker Detection for Cooperative Spectrum Sensing in Cognitive Radio Network: Using Cluster Reduction Technique. i-manager’s Journal on Communication Engineering and Systems, 4(1), 19-24. https://doi.org/10.26634/jcs.4.1.3292

Abstract

In co-operative spectrum sensing system, secondary users co-operate among themselves, improving the cognitive radio spectrum sensing performance. The presence of two or more malicious user in the secondary users severely degrades the performance of the cognitive radio spectrum sensing system. In this paper, the author have studied the detection and elimination of the malicious users in a co-operative spectrum sensing system using clustering technique namely k-mean clustering and compared its performance with Dixon's outlier test and box plot test. The performance of the system with different outlier tests is shown by plotting the receiver operating characteristics curves. From this we can show that cluster removal method outperforms the Dixon's outlier test and box plot test for the case of two or three malicious users in a co-operative spectrum sensing system for cognitive radio network.

References

[1]. Federal Communications Commission, (2003). "Facilitating opportunities for flexible, efficient, and reliable spectrum use employing spectrum agile radio technologies," ET Docket No. 03-108.

[2]. Kanungo, Tapas; Mount, D.M.; Netanyahu, N.S.; Piatko, C.D.; Silverman, R.; Wu, A.Y., (2002). "An efficient kmeans clustering algorithm: analysis and implementation," Pattern Analysis and Machine Intelligence, IEEE Transactions, Vol.24, No.7, pp.881,892.

[3]. Kalamkar, S.S.; Banerjee, A.; Roychowdhury, A., (2012). "Malicious user suppression for cooperative spectrum sensing in cognitive radio networks using Dixon's outlier detection method," Communications (NCC), National Conference, Vol.1, No.5, pp.3-5.

[4]. V. Barnett and T. Lewis, (1985). “Outliers in Statistical Data”, New York, NY: John Wiley and Sons, 2nd ed.

[5]. S. Verma and A. Quiroz-Ruiz, (2006). "Critical values for six dixon tests for outliers in normal samples up to sizes 100, and applications in science and engineering," Revista Mexicana de Ciencias Geolgicas, Vol. 23, No. 2, pp. 133–161.

[6]. F. Mosteller and J. Tukey, (1977). “Data Analysis and Regression : A Second Course in Statistics”, Reading: MA: Addison-Wesley, 1st ed.

[7]. D. A. Lax, (1985). "Robust estimators of scale: finitesample performance in log-tailed symmetric distributions," J. American Statistical Association, Vol. 80, pp. 736–741.

[8]. R. McGill, J. W. Tukey, and W. A. Larsen, (1978). "Variations of box plots," The American Statistician, Vol. 32, pp. 12–16.

[9]. C.S.Hyder, B.Grebur and Li Xiao, (2012). "Defense against Spectrum Sensing Data Falsification Attacks in Cognitive Radio Networks," Security and Privacy in Computer Networks.

[10]. S. Haykin, (2005). "Cognitive radio: Brain Empowered Wireless Communications, IEEE Journal Selet. Area on Communications, Vol. 23, No. 2, pp: 201-220.

[11]. R. Chen, J. M. Park, and K. Bian, (2008). "Robust distributed spectrum sensing in cognitive radio networks," Proc. 27th IEEE Conference on Computer Communications (INFOCOM'08), (Phoenix, AZ), pp. 1876–1884.

[12]. W. Wang, H. Li., Y. L. Sun, and Z. Han, (2009). "Attackproof collaborative spectrum sensing in cognitive radio networks," Proc. 43rd Annual Conference on Information Sciences and Systems (CISS'09), (Baltimore, MD), pp. 130–134.

[13]. P. Kaligineedi, M. Khabbazian, and V. K. Bhargava, (2010). "Malicious user detection in a cognitive radio cooperative sensing system," IEEE Transactions on Wireless Communications, Vol. 9, No. 8, pp. 2488–2497.

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Research Paper

A Low Complexity Algorithm to Improve Data Rates in LTE MBMS Systems

Vidyapogula Naveen* , S. Thulasi prasad**

* PG Scholar, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati.

** Associate Professor, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati

Naveen, V., and Prasad, S. T. (2015). A Low Complexity Algorithm to Improve Data Rates in LTE MBMS Systems. i-manager’s Journal on Communication Engineering and Systems, 4(1), 25-29. https://doi.org/10.26634/jcs.4.1.3293

Abstract

Radio Resource Management(RRM) in LTE MBMS system is the research issue addressed by this paper. LTE-advanced is in rapid process such that more and more people concentrate on system performance such as high data rates and system capacity especially with cell edge users. The proposed low complexity algorithm is designed to improve overall data rates of the system. It is proposed to reduce the computational cost. Simulation results are carried out by considering Long Term Evolution system, aiming to improve the Aggregate date rate (ADR) and system throughput with low computational cost.

References

[1]. J. F. Monserrat, J. Calabuig, A. Fernandez Aguilella, and D. Gomez-Barquero,(2012). “Joint delivery of unicast and E-MBMS services in LTE networks,” IEEE Trans. Broadcast., Vol. 58, No. 2, pp. 157–167.

[2]. G. Araniti, V. Scordamaglia, M. Condoluci,A. Molinaro, and A. Iera, (2012). “Efficient frequency domain packet scheduler for point-to-multipoint transmissions in LTE networks,” Proc. IEEE ICC, Ottawa, ON,Canada, pp 4405–4409

[3]. M. Condoluci, L. Militano, G. Araniti, A. Molinaro, and A. Iera, (2013).“Multicasting in LTE-A networks enhanced by device-to-device communications,” IEEE GLOBECOM, pp. 573–578.

[4]. C. K. Tan, T. C. Chuah, and S. W. Tan, (2011). “Adaptive multicast scheme for OFDMA-based Multicast wireless systems,” Electron. Lett., Vol. 47,no. 9, pp. 570–572.

[5]. Randy L.Haupt, (2004). Sue Ellen Haupt “Wileys Practical Genetic Algorithm”, Second Edition, pp.272.

[6]. S. N. Diggavi, (1996). "Multiuser DMT: a multiple access modulation scheme," Globecom '96, London, Vol.3, pp.1566-1570.

[7]. R. V. Sonalkar, (2000). "An efficient bit-loading algorithm for DMT applications," IEEE Comm. Letters, Vol. 4, No. 3, pp. 80-82.

[8]. San Mateo, CA:Morgan Kaufmann, (1991). “A comparative analysis of selection schemes used in genetic algorithms., In “Foundations of Genetic Algorithms. pp. 69–93.

[9]. Cezary Z.Janikow, Daniel St.dair (1995). “Genetic algorithms simulating nature's methods of evolving the best design solution”. IEEE Potentials, pp.31–35.

[10]. 3GPP, (2012). “General aspects and principles for interfaces supporting multimedia broadcast multicast service (MBMS) within E-UTRAN,” TS 36.440,Rel. 11.

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Review Paper

Mobile Learning and Education

Adnan Majeed*

M.Phil CS Student, Hajvery University Department of Computer Science & Engineering, Gulberg, Lahore, Pakistan.

Majeed, A. (2015). Mobile Learning and Education. i-manager’s Journal on Communication Engineering and Systems, 4(1), 30-37. https://doi.org/10.26634/jcs.4.1.3294

Abstract

This paper presents the survey of mobile learning in education environment. Technology and trends rapidly increase day by day and the evolution of 4G system is being implemented. Currently users of PDA and Smartphones are using whatsapp's applications to save cost and time. The methodology of the paper is based on survey of earlier research and latest research. The investigation of Mobile learning in Universities and Education Institutions has been discussed. Mobile learning provides lot of benefits to the student at the moment. Students can easily learn through mobile, Smartphone and PDA using internet connection. The objective this paper is to present the analysis of mobile learning and education.

References

[1]. S. M. Jacob and B. Issac, (2008). “The Mobile Devices and its Mobile Learning Usage Analysis”, International Multi Conference of Engineers and Computer Scientists, IMECS, Vol. 1, pp.19-21.

[2]. N.Mallikharjuna Rao and C.Sasidhar, V. Satyendra Kumar, (2011). “Cloud Computing Through Mobile- Learning”.

[3]. Ayman Bassam Nassuora, (2013). “Students Acceptance of Mobile Learning for Higher Education in Saudi Arabia”, International Journal of learning management system, Vol. 1, No. 1, pp.1-9.

[4]. Md. Anwar Hossain Masud. (2013). “Cloud Based Mlearning Architecture for Higher Education”, Archives Des Sciences, Vol 66, No. 1, pp.751-1661.

[5]. Joanne Gikas a, Michael M. Grant. (2013). “Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media”, Internet and Higher Education, Vol.19, pp.18–26.

[6]. Ryann K. Ellis, (2009). “A field guide to LMSs”, American Society for Training & Development (ASTD). ASTD Inc, 2009.

[7]. Seng Wai Loke, (1999). “Mobile Agent Technology for Enterprise Distributed Applications: An Overview and an Architectural Perspective”, Caulfield East, Victoria 3145, Australia.

[8]. Joe Sirott, L.C. Sun, DonaldW. Denbo, (2005). “Networked Synchronization of Netcdf Datasets”, Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle.

[9]. Korneliya Yordanova (2007). “Mobile learning and integration of advanced technologies in education”, International Conference on Computer Systems and Technologies - CompSysTech'07

[10]. Robert Yu-Liang Ting. (2005). ” Mobile Learning: Current Trend and Future Challenges”, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[11]. Prensky, M. (2001). “Digital natives, digital immigrants”, On the Horizon, Vol.9, No.5.

[12]. Oblinger, D. G. (2003). Boomers & gen-Xers, millennials: Understanding the “new students”, EDUCAUSE Review, Vol.38, No.4, pp.37–47.

[13]. Thomas, S. (2005). “Pervasive, persuasive eLearning: Modeling the pervasive learning space”, Proceedings of the 3rd international conference on pervasive computing and communications workshops (PERCOMW'05), pp. 332–336.

[14]. Rachel Cobcroft, Stephen Towers, Judith Smith & Axel Bruns, (2006). “Mobile learning in review: Opportunities and challenges for learners, teachers, and institutions”, Online Learning and Teaching (OLT) Conference 2006, Queensland University of Technology, Brisbane, pp. 21-30.

[15]. Almudena D´iaz, Pedro Merino Laura Panizo, “A Survey on Mobile Peer-to-Peer Technology”, Case study.

[16]. X. Zhang, S. Jeong, A. Kunjithapatham, and Simon Gibbs, (2010). “Towards an Elastic Application Model for Augmenting Computing Capabilities of Mobile Platforms,” In the Third International ICST Conference on Mobile Wireless MiddleWARE, Operating Systems, and Applications, Chicago, IL, USA.

i-manager's Journal on Communication Engineering and Systems (JCS)

Current Issue Vol. 12 Issue 2

Most Read

Most Cited

Volume 4 Issue 1 November - January 2015

Development and Performance Evaluation of a Novel Dual EuclideanAlgorithm for Secure Data Communication in Smart Grid

R. Vijayanand,* , D. Devaraj**, B. Kannapiran***, K. Kartheeban****

Abstract

References

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High Gain Multiband U-Slot Patch Antenna with Defected Ground Plane

Toolika Srivastava* , Chandan**, B.S. Rai***

Srivastava, T., Chandan, and Rai, B. S. (2015). High Gain Multiband U-Slot Patch Antenna with Defected Ground Plane. i-manager’s Journal on Communication Engineering and Systems, 4(1), 8-12. https://doi.org/10.26634/jcs.4.1.3290

Abstract

References

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Design of V-Slotted Ultra Wideband Compact Band Notch Microstrip Antenna in Wireless Telecommunication Applications

Rachaveti Praveen Krishna* , G. Guru Prasad**

*M.Tech Student, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India. ** Assistant Professor, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India.

Krishna, R. P., and Prasad, G. G. (2015). Design of V-Slotted Ultra Wideband Compact Band Notch Microstrip Antenna in Wireless Telecommunication Applications. i-manager’s Journal on Communication Engineering and Systems, 4(1), 13-18. https://doi.org/10.26634/jcs.4.1.3291

Abstract

References

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Attacker Detection for Cooperative Spectrum Sensing in Cognitive Radio Network: Using Cluster Reduction Technique

Pemma Venkata Sivadeep* , P. Venkatramana**

* PG Scholar, Communication Systems, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India. ** Professor and Head, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

Sivadeep, P. V., and Ramana, P. V. (2015). Attacker Detection for Cooperative Spectrum Sensing in Cognitive Radio Network: Using Cluster Reduction Technique. i-manager’s Journal on Communication Engineering and Systems, 4(1), 19-24. https://doi.org/10.26634/jcs.4.1.3292

Abstract

References

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A Low Complexity Algorithm to Improve Data Rates in LTE MBMS Systems

Vidyapogula Naveen* , S. Thulasi prasad**

* PG Scholar, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati. ** Associate Professor, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati

Naveen, V., and Prasad, S. T. (2015). A Low Complexity Algorithm to Improve Data Rates in LTE MBMS Systems. i-manager’s Journal on Communication Engineering and Systems, 4(1), 25-29. https://doi.org/10.26634/jcs.4.1.3293

Abstract

References

Full Article (HTML)

Pdf

Mobile Learning and Education

Adnan Majeed*

M.Phil CS Student, Hajvery University Department of Computer Science & Engineering, Gulberg, Lahore, Pakistan.

Majeed, A. (2015). Mobile Learning and Education. i-manager’s Journal on Communication Engineering and Systems, 4(1), 30-37. https://doi.org/10.26634/jcs.4.1.3294

Abstract

References

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R. Vijayanand,* , D. Devaraj, B. Kannapiran*, K. Kartheeban****

Toolika Srivastava* , Chandan, B.S. Rai*

*M.Tech Student, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of ECE, Sree Vidhyanikethan Engineering Collage, Tirupati, Andhra Pradesh, India.

* PG Scholar, Communication Systems, Department of ECE, Sree Vidyanikethan Engineering College, Tirupati, India.

** Professor and Head, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

* PG Scholar, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati.

** Associate Professor, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering Collage, Tirupati