i-manager Publications

i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Cited

A Review on Optimized FFT/IFFT Architectures for OFDM Systems
Balanced Unequal Clustering AlgorithmFor Wireless Sensor Network
HHT and DWT Based MIMO-OFDM for Various ModulationSchemes: A Comparative Approach
Study and Comparison of Distributed Energy Efficient Clustering Protocols in Wireless Sensor Network: A Review
Diagnosis of Anemia using Non-Invasive Anemia Detector through Parametrical Analysis

Volume 2 Issue 2 July - September 2013

Article

Microcontroller Based Non Invasive Wireless Sensor Network to MonitorHealth of Diesel Generator (DG) Sets

C.S. Kudarihal* , Prashant Menghal**

*_** Asst Professors, Faculty of Degree Engineering, Military College of Electronics and Mechanical Engineering, Secunderabad-500015, Andhra Pradesh, India.

Kudarihal, C.S., and Menghal, P.M. (2013). Microcontroller Based Non Invasive Wireless Sensor Network To Monitor Health Of Diesel Generator (DG) Sets, i-manager’s Journal on Wireless Communication Networks. 2(2), 1-9. https://doi.org/10.26634/jwcn.2.2.2431

Abstract

Kudarihal and his co-author Menghal study the aspects of maintaining equipments in remote areas with timely and accurate prediction of failures. For a comprehensive health monitoring of DG (Diesel Generator) Set, the microcontroller based wireless sensor network system has been developed. The ATMEL AT89S52 is a powerful microcontroller which provides a highly-flexible and cost-effective solution to many embedded control applications and provide interface with main circuits and various feedback signals.It is accurate, relatively inexpensive and easy to use.

References

[1]. Anoop R, Anup J Nambiar, Prathap R, Sridhar Divakar, Dr. T B Isha (2010). “PC Based Condition Monitoring of a Diesel – Generator Set” , doi: 10.1.1.178.563.

[2]. Manou Hosseini (2004). “ Condition Based Maintenance and Performance” doi 10.1.1.122.2614..

[3]. Kirk Zurell: (2000). “C Programming for Embedded Systems”, Elsevier publication.

[4]. Insup Lee, Joseph Y-T. Leung, Sang H. Son (2003). “Handbook of Real-Time and Embedded Systems”, Chapman & Hall/CRC Computer & Information Science Series.

[5]. Krishna, D.G., (2012). “ Preventive maintenance of wind turbines using Remote Instrument Monitoring System”, IEEE Fifth Power India Conference , pp 1-4 . doi 10.1109/PowerI.2012.6479538.

[6]. Kroener, M., (2012). “Energy harvesting technologies: Energy sources, generators and management for wireless autonomous applications” 9th International Multi- Conference on Systems, Signals and Devices (SSD), pp 1- 4.doi: 10.1109/SSD.2012.6198111.

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Research Paper

New-fangled Deterministic Interleaver with Peak Correlation Analysis for OFDM-IDMA System

Mary Juliet* , S. Jayashri**

* Research Scholar, Sathyabama University, Chennai, Tamil Nadu, India.

** Director, Adhiparasakthi Engineering College, Melmaruvathur – 603319, Kanchipuram District, Tamil Nadu, India.

Juliet, A.M., and Jayashri, S. (2013). New-Fangled Deterministic Interleaver With Peak Correlation Analysis For OFDM-IDMA System, i-manager’s Journal on Wireless Communication Networks. 2(2), 10-16. https://doi.org/10.26634/jwcn.2.2.2432

Abstract

Mary Juliet and her co-author Jayashriproposea new methodology to determinineinterleaveralong with its correlation analysis. They also analyze the Multiple Access Interference (MAI) performance of new interleavers using peak correlation analysis. Collision probability of an interleaver is achieved by performing correlation analysis. In OFDM-IDMA, IDMA (Interleave Division Multiple Access) is a novel technology that replaces the drawbacks of existing Code Division Multiple Access (CDMA) technique. The clockwise interleaver has a user specific cross correlation 0.27 which is nearly zero. This indicates that the collision between two interleavers is nearly zero.

References

[1]. Li Ping, Lihai Liu, Keying Wu, and W. K. Leung, (Apr.2006), Interleave Division Multiple-Access, IEEE Trans. Wireless Commun. Vol. 5, No. 4, pp. 938-947.

[2]. Hao Wu, Li Ping, and A. Perotti, (Feb.2006), Userspecific chip-level interleaver design for IDMA systems, IEEE Electron. Lett. Vol. 42, No. 4, pp. 233-234.

[3]. Pupeza, A. Kavcic, and Li Ping, (11-15 June 2006). ,Efficient Generation of Interleavers for IDMA, in Proc. IEEE Int. Conf. on Commun., ICC'06, Istanbul, Turkey.

[4]. Fu-Hua, Huang, (1997), Evaluation of Soft Output Decoding for Turbo Codes, Master's Thesis Available: http://scholar. lib. vt. Edu/theses/available/etd-71897- 15815.

[5]. Jun Tong, Qinghua Guo and Li Ping, ( 2008), Analysis and design of OFDM-IDMA systems, European transactions on telecommunications Eur. Trans. Telecomms, 19:561–569 published online 2 June 2008 in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/ett.1304.

[6]. A. Mary Juliet and S. Jayashri, (2013), Design analysis of deterministic interleaver for OFDM-IDMA system In Signal Processing, Image Processing & Pattern Recognition (ICSIPR), International Conference on, pp. 206-210. IEEE.

[7]. Dinan Esmael H. and Jabbari Bijan, (1998). “Spreading Codes for Direct Sequence CDMA and Wideband CDMA Cellular Networks”, IEEE Communications Magazine, pp 48-52.

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Research Paper

Reform the tag Anti-collision protocols in RFID

Milad Hajmirzaei*

Department of Computer Engineering, Science And Research Branch, Islamic Azad University, Yazd, IRAN.

Hajmirzaei, M. (2013). Reform The Tag Anti-Collision Protocols In RFID. i-manager’s Journal on Wireless Communication Networks, 2(2), 17-21. https://doi.org/10.26634/jwcn.2.2.2433

Abstract

Milad Hajmirzaei proposes an efficient algorithm called IMAS (Improved Multi slotted scheme with Assigned Slots) algorithm which overcomes the problem caused by Tag collision. During the transmission of information from one reader, the collision occurs when more than one tag transmit its ID to reader simultaneously. When more than one tag with a same prefix respond in a slot, the collision will be detected by reader. More than 200 tags are used for experiment and the collision is less IMAS.

References

[1]. H. Stockman, (1948), Communication by Means of Reflected Power, Proc. IRE, 35 1196-1204.

[2]. G. Roussos, (2008). Networked RFID, Systems, Software and Services, Springer-Verlag London Limited, Chapter 1, pages: 7,

[3]. S. R. Jeffery, M. Franklin, and M. Gaorfalakis, (2008), An adaptive RFID middleware for supporting metaphysical data independence, The VLDB Journal, 17(3) 265-289.

[4]. Y. Zhangi, (2010). RFID and Sensor Networks Architectures Protocols, Security and Integrations, Taylor and Francis Group, LLC, Chapter 1,2, pages: 1-58.

[5]. C. Law, K. Lee, and K.Y. Siu, (2000), Efficient Memoryless Protocol for Tag Identification, Discrete Algorithms and Methods, Mobile Computing and Comm, 75-84.

[6]. F. Zhou, D. Jin, C. Huang, and M. Hao, (2003), Optimize the power consumption of passive electronic tags for anticollision schemes, 5th International Conference on ASIC 2 1213-1217.

[7]. F. Zhou, D. Jin, C. Huang, and H. Min, (2004), Evaluating and optimizing power consumption of anticollision protocols for applications in RFID systems, ISLPED04: Proceedings of the 2004 International Symposium on Low Power Electronics and Design 357- 362.

[8]. V. Namboodiri and L. Gao, (2007), Energy-aware tag anti-collision protocols for RFID systems, PerCom 07: Fifth Annual IEEE International Conference on Pervasive Computing and Communications 23-36.

[9]. V. Namboodiri and L. Gao, (2010). Energy-aware tag anti-collision protocols for RFID systems, IEEE transaction on Mobile Computing 9 , 44-59.

[10]. K. Wu and Y. Liu, (2010). A New Energy-Aware Scheme for RFID System Based on ALOHA, Second International Conference on Future Networks , 149-152.

[11]. R. Metcalfe, Steady State Analysis of a Slotted and Controlled Aloha System with Blocking, Proc. Sixth Hawaii Conf. System Science.

[12]. V. Anantharam, (1991). The Stability Region of the Finite-User Slotted ALOHA Protocol, IEEE Trans. Information Theory, 37, 535-540.

[13]. P. Medagliani, G. Ferrari, and M. Marastoni, (2010). Hybrid Zigbee-RFID Networks for Energy Saving and Lifetime Maximization, Remote Instrumentation and Virtual Laboratories, Springer US, Chapter 7, pages: 473-491.

[14]. J. Sung, .T Sanchez lopez, and D. Kim, (2007). The EPC sensor network for RFID and WSN integration, infrastructure Pervasive Computing and Communications Workshops, Fifth Annual IEEE International Conference PerCom Workshops, 07, 618-621.

[15]. L. Zhang and Z. Wang, (2006), Integration of RFID into wireless Sensor networks: Architectures, opportunities and challenging problems, 5th International Conference on Grid and Cooperative Computing Workshops (GCCW06) (1973 463-469.

[16]. N. Pastos and R. Viswanathan, A modified grouped-tag TDMA access protocol for radio frequency identification networks, IEEE Wireless Communications and Networking Conference 2 .

[17]. X. Yan and X. Liu, (2011). Evaluating the energy consumption of the RFID tag collision resolution protocols, Springer Netherlands, 1-8.

[18]. A. Ruiz, K. Dheeraj, Klair, and K. Chin, (2009). A Simulation Study on the Energy efficiency of Pure and Slotted Aloha based RFID Tag Reading Protocols, Consumer Communications and Networking Conference, CCNC IEEE 6 , 1-5.

[19]. D.K. Klair, K-W. Chin, and R. Raad,(2007). An Investigation into the Energy Efficiency of Pure and Slotted Aloha Based RFID Anti- Collision Protocols, IEEE Intl Symp. a World of Wireless, Mobile and Multimedia Networks (WoWMoM07) , 1-4.

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Research Paper

Location Evaluation on various ambience based on RSSI Localization Algorithms in WSNs

Z. Mary Livinsa* , S. Jayashri**

* Research scholar, Sathyabama University, Chennai, India.

** Director, Adhiparasakthi Engineering College, Melmaruvathur-603319, Kanchipuram District, Tamil Nadu, India.

Livinsa, Z.M., and Jayashri, S. (2013). Location Evaluation On Various Ambience Based On RSSI Localization Algorithms In WSNs, i-manager’s Journal on Wireless Communication Networks. 2(2), 22-27. https://doi.org/10.26634/jwcn.2.2.2434

Abstract

Z.Mary Livinsa and S.Jayashri deliberate a Received Signal Strength Indicator(RSSI) to estimate the distance between two sensor nodes in a WSNs that ingests the built in RSSI circuit board inside the sensor’s transceivers chipsets. AmicaZ platform is used which is based on the radio chip CC2420 that operates in 2.4GHZ band using an effective data rate of 256Kbps.The experiment repeated for 100 times and the error range is an average of 2.034m.

References

[1]. Caixia Li,Yuanjie Li,Yu Shen,Linlang Liu,Qiying Cao, (2010). “An Optimization Algorithm for Wireless Sensor Networks Localization Using Multiplier Method,” Third International Joint Conference on Computational Science and Optimization.

[2]. Lina M.Pestanna Leao de Brito, Laura M. Rodriguez Peralta:” (2008), An Analysis of Localization Problems and Solutions in Wireless Sensor Networks”,April, Vol 1,ISSN:1645- 9911.

[3]. Srinivasan and Jie (2010). A survey on secure localization in wireless sensor network, Wu Florida Atlantic University, Boca Raton, FL,USA: -

[4]. Niculescu, D. and B. Nath, (2003). Ad hoc Positioning Networks, In: Proceedings of IEEE International System (APS) using AOA, Istanbul, INFOCOM, pp: 1734-1743.

[5]. Mao, G., B. idan and B.D.O. Anderson, (2007). Wireless Sensor Network Localization Techniques, Computer Networks, 51: 2529-2553.

[6]. K.W. Cheung, H.C. So, W.K. Ma, and Y.T. Chan, (2004). “Least squares algorithms for time-of-arrival-based mobile location,” IEEE Trans.Signal Process., Vol.52, No.4, pp.1121–1130, April 2004.

[7]. Wang, G. and K. Yang, (2011). A New Approach to in modeling and simulation of wireless ad hoc Sensor Node Localization Using RSS Measurements networks, In: Proc. IEEE Intern. Conf. on Mobile and in Wireless Sensor Networks, IEEE Transactions on Wireless Comm. Netw. (MWCN). Wireless Communications, 10: 1389-1395.

[8]. Savvides, A., W.L. Garber, R.L. Moses M.B. Srivastava, (2005). An Analysis of Error Inducing 25. Krishnamachari, B., S.B. Wicker and R. Bejar, (2001). Parameters in Multihop Sensor Node Localization, Phase transition phenomena in wireless ad hoc, IEEE Transactions on Mobile Computing, 4: 567-577.

[9]. Amitangshu Pal: (2010). “Localization algorithms in wireless sensor networks: Current Approaches and Future Challenges”-: ISSN 1943-3581-Network Protocols and Algorithms, www.macrothink.org/npa.

[10]. Fu Dong-xu, Feng Dong-qin, Zhang He-nan, (2011). “Mean LQI and RSSI based link evaluation algorithm and the application in frequency hopping mechanism in wireless sensor networks,” Proceedings of the International Conference on Consumer Electronics, Communications and Networks (CECNet), P. 3252 – 3257.

[11]. Zhang Shaoping, Li Guohui, Wei and Yang Bing: (2010). A Novel Iterative Multilateral Localization Algorithm for Wireless Sensor Networks-Journal of Networks.

[12]. C. Lim, S. Kang, H. Cho, S. Park. S and J. Park, (2010). “An Enhanced Indoor Localization Algorithm Based on IEEE 802.11 WLAN Using RSSI and Multiple Parameters, “ Fifth International Conference on Systems and Networks communications(ICSNC),P. 238 – 242, 2010.

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Research Paper

Efficient data search in partially structured peer-to-peer network using aggregate queries and replication of database at certain nodes in the network.

Sweta Arya*

Electronics and Communication Department, Guru Gobind Singh Indraprastha University, Delhi, India.

Arya, S. (2013). Efficient Data Search In Partially Structured Peer-To-Peer Network Using Aggregate Queries And Replication Of Database At Certain Nodes In The Network, i-manager’s Journal on Wireless Communication Networks. 2(2), 28-30. https://doi.org/10.26634/jwcn.2.2.2435

Abstract

Sweta Arya presents a novel method to find out the desired file in a partially structured local peer-to-peer network to authenticate each entry of data which are accessed by the user for future. A technique is evaluated to increasing the efficiency of search scheme by replicating the database at certain selected nodes which increase the availability of data. Data is replicated at the query node and become available for future transaction between peers. The application is designed with ASP.net in frontend and SQL server as backend. Speed of transfer of data is also improved due to efficient structuring in the database of system.

References

[1]. D. Milojicic, V. Kalogeraki, R. Lukose, K. Nagaraja, J. Pruyne, B. Richard, S. Rollins, and Z. Xu. (2002). Peer-to- Peer Computing. Technical Report HPL-2002-57.s

[2]. B. Yang and H. Garcia-Molina. (2002). Improving Search in Peer-to-Peer Networks. Proc. 22nd Int'l Conf. Distributed Computing Systems (ICDCS '02), pp. 5-14.

[3]. C. Gkantsidis, M. Mihail, and A. Saberi. (2004). Random Walks in Peer-to-Peer Networks. Proc. IEEE INFOCOM '04, pp. 120-130.

[4]. C. Gkantsidis, M. Mihail, and A. Saberi. (2005). Hybrid Search Schemes for Unstructured Peer-to-Peer Networks. Proc. IEEE INFOCOM '05, pp. 1526-1537.

[5]. Gnutella website. http://www.gnutella.com

[6]. Napster website. http://www.napster.com

[7]. Morpheus website. http://www.morpheus-os.com.

[8]. S. Saroiu, P.K. Gummadi, and S.D. Gribble. (2002), A Measurement Study of Peer-to-Peer File Sharing Systems. MMCN.

[9]. D. Tsoumakos and N. Roussopoulos. (2003, september). Adaptive Probabilistic Search for Peer-to-Peer Networks. Proc. Third Int'l Conf. Peer-to- Peer Computing (P2P '03), pp. 102-109.

[10]. Vicent Cholvi, Pascal Felber and Ernst Biersack. Efficient search in Unstructured peer-to-peer networks. Eurecom university, pp 1-11.

[11]. Yingwu Zhu and Haiying Shen. (2009). High search performance, small document Index: P2P search can have both. IEEE , 978-1-4244-4921-7, pp 312-321.

[12]. Z. Ge, D.R. Figueiredo, S. Jaiswal, J. Kurose, and D. Towsley, (2003). “Modeling Peer-Peer File Sharing Systems,” Proc. IEEE INFOCOM '03, pp. 2188-2198.

[13]. S. Saroiu, P.K. Gummadi, and S.D. Gribble. (2002),. A Measurement Study of Peer-to-Peer File Sharing Systems. MMCN.

[14].George H.L. Fletcher, Hardik A. Sheth, and Katy Borner. (2005). Unstructured peer-to-peer networks: Topological properties and search performance. Springer-Verlag Berlin Heidelberg, AP2PC 2004, LNAI 3601, pp. 14-27.

i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Read

Most Cited

Volume 2 Issue 2 July - September 2013

Microcontroller Based Non Invasive Wireless Sensor Network to MonitorHealth of Diesel Generator (DG) Sets

C.S. Kudarihal* , Prashant Menghal**

*_** Asst Professors, Faculty of Degree Engineering, Military College of Electronics and Mechanical Engineering, Secunderabad-500015, Andhra Pradesh, India.

Kudarihal, C.S., and Menghal, P.M. (2013). Microcontroller Based Non Invasive Wireless Sensor Network To Monitor Health Of Diesel Generator (DG) Sets, i-manager’s Journal on Wireless Communication Networks. 2(2), 1-9. https://doi.org/10.26634/jwcn.2.2.2431

Abstract

References

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New-fangled Deterministic Interleaver with Peak Correlation Analysis for OFDM-IDMA System

Mary Juliet* , S. Jayashri**

* Research Scholar, Sathyabama University, Chennai, Tamil Nadu, India. ** Director, Adhiparasakthi Engineering College, Melmaruvathur – 603319, Kanchipuram District, Tamil Nadu, India.

Juliet, A.M., and Jayashri, S. (2013). New-Fangled Deterministic Interleaver With Peak Correlation Analysis For OFDM-IDMA System, i-manager’s Journal on Wireless Communication Networks. 2(2), 10-16. https://doi.org/10.26634/jwcn.2.2.2432

Abstract

References

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Reform the tag Anti-collision protocols in RFID

Milad Hajmirzaei*

Department of Computer Engineering, Science And Research Branch, Islamic Azad University, Yazd, IRAN.

Hajmirzaei, M. (2013). Reform The Tag Anti-Collision Protocols In RFID. i-manager’s Journal on Wireless Communication Networks, 2(2), 17-21. https://doi.org/10.26634/jwcn.2.2.2433

Abstract

References

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Location Evaluation on various ambience based on RSSI Localization Algorithms in WSNs

Z. Mary Livinsa* , S. Jayashri**

* Research scholar, Sathyabama University, Chennai, India. ** Director, Adhiparasakthi Engineering College, Melmaruvathur-603319, Kanchipuram District, Tamil Nadu, India.

Livinsa, Z.M., and Jayashri, S. (2013). Location Evaluation On Various Ambience Based On RSSI Localization Algorithms In WSNs, i-manager’s Journal on Wireless Communication Networks. 2(2), 22-27. https://doi.org/10.26634/jwcn.2.2.2434

Abstract

References

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Efficient data search in partially structured peer-to-peer network using aggregate queries and replication of database at certain nodes in the network.

Sweta Arya*

Electronics and Communication Department, Guru Gobind Singh Indraprastha University, Delhi, India.

Arya, S. (2013). Efficient Data Search In Partially Structured Peer-To-Peer Network Using Aggregate Queries And Replication Of Database At Certain Nodes In The Network, i-manager’s Journal on Wireless Communication Networks. 2(2), 28-30. https://doi.org/10.26634/jwcn.2.2.2435

Abstract

References

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* Research Scholar, Sathyabama University, Chennai, Tamil Nadu, India.

** Director, Adhiparasakthi Engineering College, Melmaruvathur – 603319, Kanchipuram District, Tamil Nadu, India.

* Research scholar, Sathyabama University, Chennai, India.

** Director, Adhiparasakthi Engineering College, Melmaruvathur-603319, Kanchipuram District, Tamil Nadu, India.