Volume-2 Issue-5

S. No

Volume-2 Issue-5, April 2015, ISSN: 2347-6389 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.

Page No.

1.

Authors:

Yaser A. Salem

Paper Title:

Performance Study of Piggybacked CDMA/PRMA HAP System

Abstract: This paper introduces a multiple access scheme called CDMA/PRMA with Piggybacked Reservation, which employ High Altitude Platforms (HAPs) as innovative wireless base station with balanced cell coverage, to achieve higher statistical multiplexing efficiency in the mixed CBR / VBR /ABR (constant, variable, and available bit rate) traffic environment. The idea is to use HAP as mobile communication assisted system with almost equal paths to communication nodes, while reducing signal impairment. The adopted scheme exploits reservation access mechanism. The reservation is assigned in a separate slice of the frame (reservation mini frame) while the rest of the frame is allotted to the communication traffic. The second level exploits the piggybacked reservation with multimode video encoder to deal with the dynamic nature of VBR traffic in order to increase the channel access efficiency. The expediency of the adopted schemes is insured through the simulation of an isolated cell environment. The obtained results indicated that, a substantial increase in the number of heterogeneous users is attained within the intended QoS level.

Keywords: CDMA, PRMA, HAPs, Stratospheric, Communication.

References:
1. M. GUAN, L. WANG, “Comparison of Broadband Wireless Access Technology for HAPS Communication” Sensors & Transducers, Vol. 166, Issue 3, March 2014, pp. 122-127.
2. D. Grace and M. Mohorčič,” Broadband Communications via High-Altitude Platforms,” United Kingdoms: John Wiley and Sons, Ltd., 2011.
3. H.Jengji,W. Weiting,F.Hueiwen. "Up-link capacity enhancement for an integrated HAPS-terres-trial CDMA system,". IEEE Communications Letters,2007,10-12.
4. A. Mohammed, S. Arnon, D. Grace, M. Mondin, and R. Miura,"Advanced communications techniques and applications for high-altitude platforms," Editorial for a special issue in EURASIP Journal on Wireless communications and Networking, vol. 2008, 2008., http://www.hindawi.com/journals/wcn/volume-2008/si.7.html, ” IEEE Trans. Antennas Propagat., to be published.
5. S. H. Alsamhi, N. S. Rajput ,“An Intelligent HAP for Broadband Wireless Communications: Developments, QoS and Applications” International Journal of Electronics and Electrical Engineering, Vol. 3, No. 2, April, 2015.
6. S. Karapantazis and F. Pavlidou, "Broadband communications via high-altitude platforms: a survey," IEEE Communications Surveys & Tutorials, vol. 7, pp. 2-31, 2005.
7. H. Jeng-Ji, W. Wei-Ting, and F. Huei-Wen, “Uplink capacity enhancement for an integrated HAPS-terrestrial CDMA system,” IEEE Communications Letters, vol. 11, pp. 10-12, 2007
8. D. Grace, J. Thornton, C. Guanhua, G. P. White, and T. C. Tozer, “Improving the system capacity of broadband services using multiple high-altitude platforms,” IEEE Transactions on Wireless Communications, vol. 4, pp. 700-709, 2005
9. J. L. C.-R., J. A. D.-P., and A. Aragón-Zavala, “High Altitude Platforms for Wireless Communications,“ United Kingdom: John Wiley and Sons, Ltd., 2008.
10. T. Tozer and A. Smith, “High altitude platforms and Milsatcom for future capacity requirements,” in Proc. IET Seminar on Milsatcoms, 2010, pp. 1-26.
11. Z. Elabdin, O. Elshaikh, R. Islam, A. Ismail, and O. Khalifa,“High altitude platform for wireless communications and other services,” in Proc. International Conference on Electrical and Computer Engineering, 2006, pp. 432-438.
12. Divya, T. Singh, A. Singh, A. Kumar. “High Altitude Platforms (HAP) : A Review,”, International Journal of electronics & communication technology, IJECT Vol. 2, Issue 3, sept. 2011,
13. L. Macicova, P. Galajda, “High altitude platform for wireless communications and other services,”, Act Electrotecnica, No2, Vol. 7, 2007.
14. K. Ahmed, S. Komar,J. Shekhar, " Network Congestion Control in 4G Technology Through Iterative Server", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 2, July 2012.
15. Y. Albagory, O. Said," Optimizing Concentric Circular Antenna Arrays for High-Altitude Platforms Wireless Sensor Networks" I.J. Computer Network and Information Security, 2014, 5, 1-8
16. Y. . Albagory," Impact of High-Altitude Platforms Rotation on Cellular Mobile Communications", International Journal of Advanced Computing Research, Volume 1, 2014.
17. M. A. Elghorab, A. S. Alkorany, M. I. Dessouky," Handoff Study of Ring Shaped Cellular Configuration Designed for High Altitude Platform Communications", International Journal of Computer Applications (0975 – 8887). Volume 102– No.5, September 2014.18. K. S, Pavlidou FN "Call admission control in multiservice high altitude platform (HAP) W-CDMA cellular systems". Comput Netw 51(12):3491–3506
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20. A. Ibrahim and S. Tohm, “CDMA/PRMA analytical model for voice users in Satellite-UMTS systems,” ICC New York, 2002
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24. A. A. Kofmehl, D. Grob, A. Ibrahim, S. Tohme, “Performance Evaluation and Optimization of a CDMA/PRMA Medium Access Protocol for WWW Users in Mobile Networks”, International World Wide Web Conference, Budapest Hungary, 20-24 May, 2003.
25. G. Benelli, R. Fantacci, G. Giambene, C. Ortolani, “Performance Analysis of a PRMA Protocol Suitable for Voice and Data Transmission in Low Earth Orbit Mobile Satellite Systems”, IEEE Trans. On Wireless Com., vol.1, no.1, January 2002 .
26. A.E. Brand, H. Aghvami “Multiple Access Protocols for Mobile Communications GPRS, UMTS and Beyond”, John Willey & Sons, LTD, 2002.
27. K. Siamitros, N. Dimitriou, R. Tafazolli, “UMTS Coverage Planning Using a High Altitude Platform Station”, WMPC 2002, pp.1157-1161, 2002.
28. H. Al-Mahdi, H. Nassar, Y. Fouad, M. Ali," Design and Analysis of a Channel Assignment Scheme for CDMA-TDMA Mobile Networks", Wireless Pers Commun (2013) 69:579–599
29. Taha-Ahmed, B., and M. Calvo-Ramón" Multiservice capacity and interference statistics of the uplink of high altitude platforms (HAPs) for asynchronous and synchronous WCDMA system", Annales des Telecommunications, Vol. 67, 503-509.
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32. ITU, “Operational and Technical Characteristics for a Terrestrial IMT-2000 System Using High Altitude Platform Stations”, Document 8-1/80-E, April 1998.
33. B. El-Jabu and R. Steele, “Cellular Communications Using Aerial Platforms”, IEEE Trans. on Vehicular Tech., Vol. 50, No. 3, pp: 686–700, 2001.
34. K. Siamitros, N. Dimitriou, R. Tafazolli, “UMTS Coverage Planning Using a High Altitude Platform Station”, in Proceedings of the 5 th International Symposium on Wireless Personal Multimedia Communications, 2002, Vol. 3, pp: 1157–1161, Sheraton Waikiki, Honolulu, Hawaii, 27-30 October 2002.
35. Andrew J, Viterbi, ”CDMA Principal of spread spectrum communication”, Addison-Wesley- 1995
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43. Brand, A.E. Aghvami, A.H. "Multidimensional PRMA (MD RMA)-a versatile medium access strategy for the UMTS mobile to base station channel. Personal, Indoor and Mobile Radio Communications", 1997, Waves of the Year 2000, PIMRC '97, The 8th IEEE International Symposium on Volume: 2, 1997, Page(s): 524 -528 vol.2.

1-8

2.

Authors:

Ankita B. Kolhe, P. S. Choudhary

Paper Title:

Intelligent Household LED Lighting System Considering User Satisfaction and Energy Saving

Abstract: This paper aims to provide experiences from field tests using wireless technologies and the associated solutions, for energy management of household appliances. The system saves energy by maximizing the use of daylight, capable of controlling lights, fans in a room. All these parameters are measured through various sensors and the controlling is done by microcontroller. The system itself consumes very low power and helps in saving a significant amount of energy. The system can be applied to government offices, private firms, residential buildings, schools; colleges etc. so as to avoid the wastage of electricity and maximum use of day lighting, also reduces our dependence on conventional energy and will help in conserving energy. The system architecture is described and experimental results are provided for monitoring and intelligent control of home appliances, enabling demand response in real-time.

Keywords: Energy Efficiency, Home Automation, Situation Awareness, User Satisfaction.

References:
1. Andreas Foglar, Halid Hrasnica, Maurice Draaijer, Nikolaos Mouratidis, Spyridon Tompros , “Enabling Applicability of Energy Saving Applications on the Appliances of the Home Environment”, November/December 2009 , pg no.8-16.
2. Haesik Kim, Honggang Zhang, Kari Horneman, Tao Chen, Yang Yang, “Network Energy saving Technologies for Green Wireless Access Networks”, October 2011,pg no. 30-38.
3. Jinsung Byun, Sehyun Park, “Development of a Self-adapting Intelligent System for Building Energy Saving and Context-aware Smart Services”, Vol. 57, no.1,February 2011, pg no.90-98.
4. Jinsoo Han, Chang-Sic Choi, and Ilwoo Lee, “More Efficient Home Energy Management System Based on ZigBee Communication and Infrared RemoteControls”,Vol. 57, no.1, February 2011,pg. no. 85-89.
5. Cagdas Atici, Tanir ozcelebi and Johan J. Lukkien, “Exploring User-Centered Intelligent Road Lighting Design: A Road Map and Future Research Directions”, Vol.57, no.2, February 2011,pg. no. 788-793.
6. Fabio Leccese, “Remote-Control System of High Efficiency and Intelligent Street Lighting Using a ZigBe Network of Devices and Sensors”, Vol.28, no.1, January 2013,pg. no.21-28.
7. Meng-Shiuan Pan, Lun-Wu Yeh, Yen-Ann Chen, Yu-Hsuan Lin, and Yu-Chee Tseng, “A WSN-based Intelligent Light Control System Considering User Activities and Profiles”, pg. no.1-12.
8. Byoungjoo Lee, Gwanyeon Kim, Insung Hong, Sehyun Park, Yoonsik Uhm, “Design and Implementation of Power-aware LED Light Enabler with Location-aware Adaptive Middleware and Context-aware User Pattern”, January 2010,pg no.231-239.
9. Seung-Ho Hong, Tae-Jin Park, “Experimental Case Study of a BACnet-Based Lighting Control System”, Vol. 6, no. 2,April 2009, pg no. 322-333.
10. Aurora Gil-de-Castro and Antonio Moreno-Munoz, Francisco Domingo-Perez, Francisco Jose Bellido- Outeirino, Jose Maria Flores-Arias, “Building Lighting Automation through the Integration of DALI with Wireless Sensor Networks”, 2012, pg no.47-52.
11. Author Name: A. Schoofs, A. Guerrieri, A.G. Ruzzelli, G.M.P. O’Hare , “ANNOT: Automated Electricity Data Annotation Using Wireless Sensor Networks” , June, 2010.
12. Ying-Wen Bai and Yi-Te Ku, “Automatic Room Light Intensity Detection and Control Using a Microprocessor and Light Sensors” , Vol. 54, No. 3, August 2008, pg. no. 1173-1176.
13. R.A.Ramlee, M.H.Leong, R.S.S.Singh, M.M.Ismail, M.A.Othman, H.A.Sulaiman, M.H.Misran, M.A.Meor Said, “Bluetooth Remote Home Automation System Using Android Application”, The International Journalof Engineering And Science,Vol. 2,no.1, 2013, pg. no. 149-153.
14. Hayoung Oh, Hyokyung Bahn, and Ki-Joon Chae, “An Energy-Efficient Sensor Routing Scheme for Home Automation Networks”, Vol. 51, No. 3, August 2005, pg. no.836- 839.
15. Jinsoo Han, Haeryong Lee, and Kwang-Roh Park, “Remote-Controllable and Energy-Saving Room Architecture based on ZigBee Communication”, Vol. 55, No. 1, February 2009, pg. no.264-268.

9-11

3.

Authors:

N.T. Bhagat, A. H. Deshmukh

Paper Title:

Nonlinear (Pushover) Analysis of Steel frame with External Bracing

Abstract: Steel is by far most useful material for building construction in the world and in last decades steel structure has played an important role in construction industry. Providing strength, stability and ductility are major purposes of seismic design. It is necessary to design a structure to perform well under seismic loads. In this paper nonlinear pushover analysis is carried out for high rise building steel frame with different pattern of External bracing. The shear capacity of the structure can be increased by introducing steel bracing in structural. There is ‘n’ number of possibilities to arrange steel bracing for Ex. Diagonal, X, K, V Inverted V. A typica12th- story regular steel frame having ‘V’ zone building is designed for various types of concentric bracings like Diagonal, V, X, and Exterior X in that ‘X’ Bracing are more effective. So result shows effective bracing only using STAAD PRO for bracing using different types of material sections i.e. ISMB, ISMC and ISA or any tubular or hollow sections are used to compare for same patterns of bracin.

Keywords: Typical steel frame, exterior bracing Tube or ISMB or ISA or ISMC, Pushover Curve.

References:
1. Mr. Praveen Thakur, Dr.SureshKushwaha &PrabhatSoni October2014 International Journal of Innovative Research & Development )“Analysis of Nodal Displacement and Beam EndForces for Multistoried Framed Structure”
2. Mr. VaseemInamdar&Mr.Arun Kumar August 08 August 2014(International Journal of Innovative Research & Development Volume No.03, Issue No. 08 August 2014)“Seismic Analysis Of Steel Frame With Bracings Using Pushover Analysis Using ETAB”
3. Mr. Mohammed Idrees Khan & Mr. Khalid Nayaz Khan July 2014(International Journal of Advanced Technology in Engineering and Science Volume No.02, Issue No. 07, July 2014) “Seismic Analysis of Steel Frame with Bracing Using Pushover Analysis”
4. Cinitha A, Umesha P&, Nagesh R . Iyer( Scientist, CSIR- Structural Engineering Research Centre, Taramani, Chennai) “Evaluation of Seismic Performance of an Existing Steel Building- Pushover Analysis Approach”
5. Vijay& K. Vijayakumar(International Journal of Engineering Research and Development) “Performance of Steel Frame by Pushover Analysis for Solid and Hollow Sections”.
6. K.K.Sangle,K.M.Bajori,V.Mhalungkar.,2012, “Seismic Analysis Of High Rise Steel Frame Building With And With Out Bracing”
7. M.D. Kevadkar, P.B. Kodag,(2013), “Lateral Load Analysis Of RCC Building”
8. Haroon Rasheed Tamboli (2012) :-Performed seismic analysis using Equivalent Lateral Force Method for different reinforced concrete (RC) frame building models that included bare frame, in filled frame and open first story frame
9. NarenderBodige, Pradeep Kumar Ramancharla (2012)”modeled a 1 x 1 bay 2D four storied building using AEM (applied element method”
10. Srikhanta Prasad (2009) “Analytical Study to Evaluate Nonlinear Seismic Performance of One Bay and Two Bay RC Frames at Different Storey Levels”.
11. Syed Ahamed, Dr. Jagadish G. Kori (2013) “Performance Based Seismic Analysis Of An Unsymmetrical Building Using Pushover Analysis”.
12. Indian IS Code IS800-2007 & IS1893-2002 (Part 1)
13. 13. Indian IS Code IS800-1984 Design of Steel Structure

12-16

4.

Authors:

I. I. Sayyad, S. M. Hon, K. K. Joshi, P. N. Kolase, Omkar Babasaheb Kale

Paper Title:

Vibration Analysis of Thick Plate by Using Refined Plate Theory and ANSYS

Abstract: Refined plate theory is applied for free vibration analysis of thick plate for better results and greater accuracy. In this paper vibration analysis of thick isotropic plate is carried out and results are compared with the results of ANSYS APDL (14.5). This theory uses sinusoidal function in terms of thickness coordinate and accounts for realistic variation of the transverse shear stress through the thickness and satisfies the shear stress free surface conditions at the top and bottom surfaces of the plate. Simply supported thick isotropic plate is considered for detail numerical study. Navier’s solution technique is used for the analytical solution. The results are obtained for natural bending mode frequencies. ANSYS APDL 14.5 is used to obtain fundamental frequencies in Modal Solution.

Keywords: Natural Frequencies, ANSYS, Shear Correction Factor, Shear Deformation, Transverse Shear Stress, Modal analysis.

References:
1. S.P. Timoshenko and S.W. Krieger, “Theory of Plates and Shell,” McGraw Hill, New York, 1959.
2. G.R. Kirchhoff, “Uber das gleichgewicht und die bewegung einer elastischen Scheibe, Journal für die reine und angewandte Mathematik (Crelle's Journal),” Vol.40, Pp 51-88, 1850.
3. R. Szilard, “Theory and analysis of plates-classical and numerical methods,” Prentice-Hall Inc., Englewood Cliffs, New Jersey, 2004.
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13. Vanam B. C. L., Rajyalakshmi M. and Inala R.’ “Static analysis of an isotropic rectangular plate using finite element analysis (FEA),” Journal of Mechanical Engineering Research Vol. 4(4), pp. 148-162, April 2012.
14. I. I. Sayyad. S. B. Chikhalthankar and Y. M. Nandedkar. “Bending and Free Vibration Analysis of Isotropic Plate Using Refined Plate Theory,” Bonfring International Journal of Industrial Engineering and Management Science, Vol. 3, No. 2, June 2013, Pp. 40-46.

17-21

5.

Authors:

Shital L. Bansod, Sonal Honale

Paper Title:

Review on Enhanced Multi-Queue Packet Schedular Scheme for Wireless Sensor Network

Abstract: Wireless sensor network (WSN) applications heavily rely on information being transmitted in a timely manner. In such sensor networks, packet scheduling plays a vital role in reducing end-to-end data transmission delays. Developing packet scheduling algorithms in wireless sensor networks can efficiently enhance delivery of packets through wireless links. Packet scheduling can guarantee quality of service and improve transmission rate in wireless sensor networks. It is the process used to select which packet to be serviced or which to be dropped based on the priority such as real time packet and non-real time packet. This paper deals with various packet scheduling algorithms. Wireless sensor network has a different packet scheduling strategy and each has their own advantage and disadvantage. This paper brings a survey on algorithm which provides priority based scheduling and its application.

Keywords: Wireless Sensor Network, Packet scheduling scheme, Non-preemptive priority scheduling, Preemptive pocket scheduling scheme, Real-time, Non-Real-time.

References:
1. G. Anastasi, M. Conti, and M. Di Francesco, “Extending the lifetime of wireless sensor networks through adaptive sleep,” IEEE Trans. Industrial Informatics, vol. 5, no. 3, pp. 351–365, 2009.
2. G. Bergmann, M. Molnar, L. Gonczy, and B. Cousin, “Optimal period length for the CQS sensor network scheduling algorithm,” in Proc.2010 International Conf. Netw. Services, pp. 192–199.
3. E. Bulut and I. Korpeoglu, “DSSP: a dynamic sleep scheduling protocol for prolonging the lifetime of wireless sensor networks,” in Proc. 2007 International Conf. Advanced Inf. Networking Appl., vol.2, pp. 725– 730.
4. S. Chachra and M. Marefat, “Distributed algorithms for sleep scheduling in wireless sensor networks,” in Proc. 2006 IEEE International Conf. Robot. Autom., pp. 3101–3107.
5. P. Guo, T. Jiang, Q. Zhang, and K. Zhang, “Sleep scheduling for critical event monitoring in wireless sensor networks,” IEEE Trans. Parallel Distrib. Syst., vol. 23, no. 2, pp. 345–352, Feb. 2012.
6. F. Liu, C. Tsui, and Y. J. Zhang, “Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks,” IEEE Trans. Wireless Commun., vol. 9, no. 7, pp. 2258–2267, July 2010.
7. J. Liu, N. Gu, and S. He, “An energy-aware coverage based node scheduling scheme for wireless sensor networks,” in Proc. 2008 International
8. O. Khader, A. Willig, and A. Wolisz, “Distributed wakeup scheduling scheme for supporting periodic traffic in wsns,” in Proc. 2009 European Wireless Conf., pp. 287–292.
9. B. Nazir and H. Hasbullah,“Dynamic sleep scheduling for minimizing delay in wireless sensor network,” in Proc. 2011 Saudi International Electron., Communications Photon. Conf., pp. 1–5.
10. D. Shuman and M. Liu, “Optimal sleep scheduling for a wireless sensor network node,” in Proc. 2006 Asilomar Conf. Signals, Syst. Comput.,pp. 1337–1341.
11. S. Paul, S. Nandi, and I. Singh, “A dynamic balanced-energy sleep scheduling scheme in heterogeneous wireless sensor network,” in Proc. 2008 IEEE International Conf. Netw., pp. 1–6, 2008.
12. A. R. Swain, R. C. Hansdah, and V. K. Chouhan, “An energy aware routing protocol with sleep scheduling for wireless sensor networks,” in Proc. 2010 IEEE International Conf. Adv. Inf. Netw. Appl., pp. 933–940.
13. Y. H. Wang, Y. L. Wu, and K. F. Huang, “A power saving sleep scheduling based on transmission power control for wireless sensor networks,” in Proc. 2011 International Conf. Ubi-Media Comput., pp.19–24.
14. Y. Wang, D. Wang, W. Fu, and D. P. Agrawal, “Hops-based sleep scheduling algorithm for enhancing lifetime of wireless sensor networks,”in Proc. 2006 IEEE International Conf. Mobile Adhoc Sensor Syst., pp. 709–714.
15. Y. Xiao, H. Chen, K. Wu, B. Sun, Y. Zhang, X. Sun, and C. Liu, “Coverage and detection of a randomized scheduling algorithm in wireless sensor networks,” IEEE Trans. Comput., vol. 59, no. 4, pp. 507–521, Apr. 2010.
16. X. Xu, Y. H. Hu, J. Bi, and W. Liu, “Adaptive nodes scheduling approach for clustered sensor networks,” in Proc. 2009 IEEE Symp. Comput. Commun., pp. 34–39.
17. Y. Zhao, J. Wu, F. Li, and S. Lu, “VBS: maximum lifetime sleep scheduling for wireless sensor networks using virtual backbones,” in Proc. 2010 IEEE INFOCOM, pp. 1–5.
18. B. Zeng, Y. Dong, and D. Lu, “Cooperation-based scheduling algorithm in wireless multimedia sensor networks,” in Proc. 2011 International Conf. Wireless Commun., Netw. Mobile Comput., pp. 1–4.
19. N. Edalat, W. Xiao, C. Tham, E. Keikha, and L. Ong, “A price-based adaptive task allocation for wireless sensor network,” in Proc. 2009 IEEE International Conf. Mobile Adhoc Sensor Syst., pp. 888–893.
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