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 4 Issue 1 April - June 2015

Article

Efficient Schemes To Improve The Life Time Of Wireless Sensor Networks

S. Anandamurugan*

Assistant Professor (SLG), Information Technology, Kongu Engineering College, Erode, India.

Anandamurugan, S. (2015). Efficient Schemes To Improve The Life Time Of Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 4(1), 1-10. https://doi.org/10.26634/jwcn.4.1.3457

Abstract

In recent years, a new wave of network labeled Wireless Sensor Networks (WSNs) has attracted a lot of attention from researchers in both academic and industrial communities. WSNs consist of tiny, energy efficient sensor nodes communicating via wireless channels, performing distributed sensing and collaborative tasks for a variety of monitoring applications. They include physical phenomena like temperature, humidity, vibrations, seismic events and pollution detection, to feature extractions. An energy source supplies the energy needed by the device to achieve the programmed assignment. This energy source often consists of a battery with a limited energy plan. It could be unfeasible or difficult to recharge the battery, because nodes may be deployed in a hostile or unpractical environment. The sensor network should have a life span long enough to fulfill the application requirements. Therefore, the crucial issue is to prolong the network lifetime. In some cases, it is possible to scavenge energy from the external environment (e. g. by using solar cells as the energy source). However, external energy supply sources regularly exhibit a non-continuous performance so that an energy buffer (a battery) is needed, as well. In any case, energy is a very significant resource and must be used very sparingly. Therefore, the main issues in wireless sensor networks is how to prolong the network lifetime of WSNs with a certain energy source and how to maintain coverage and connectivity. Optimizing the energy consumption in wireless sensor networks has recently become an important concern. Hence, energy management is a key issue in Wireless Sensor Networks.

References

[1]. Ahn, J. and Krishnamachari, B. (2007). “Modeling Search Costs in Wireless Sensor Networks”, Technical Report CENG-2007, Computer Science Department, University of Southern California.

[2]. Akyildiz, I.F. and Kasimoglu, I.H. (2004). “Wireless Sensor and Actor Networks: Research Challenges”, Ad Hoc Networks Journal, Vol. 2, No. 4, pp. 351-367.

[3]. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y. and Cayirci, E. (2002). “Wireless sensor Networks: a survey”, Computer Networks, pp. 393-422.

[4]. Akyildiz,I.F.,Su,W., Sankarasubramaniam, Y. and Cayirci,E. (2002). “A Survey on Sensor Networks,” IEEE Communication Magazine, Vol. 38, No. 8, pp. 102-114.

[5]. Aldosari, S.A. and Moura, J.M.F. (2004). “Detection in Decentralized Sensor Networks,” Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, pp. 277-280.

[6]. Alippi, C., Anastasi, G., Galperti,C., Mancini, F.and Roveri, M. (2007). “Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications”, Proceedings of IEEE International Workshop on Mobile Ad-hoc and Sensor Systems for Global and Homeland Security, Pisa (Italy).

[7]. Alshaibi, A., Vial, P. and Ros, M., “Hybrid powersaving technique for wireless sensor networks“, IEEE International Conference on wireless Information Technology and Systems (ICWITS), pp.1 - 4.

[8]. Amis, A., Prakash, R., Huynh, D. and Vuong, T. (2000). “Max-Min Cluster Formation in Wireless Ad Hoc Networks,” Proceedings of IEEE INFOCOM.

[9]. Anastasi, G., Conti, M., Di Francesco, M. and Passarella, A. (2009). “Energy Conservation in Wireless Sensor Networks: a Survey,” Ad Hoc Networks, Vol. 7, No. 3, pp. 537-568.

[10]. Anderson, R. and Kuhn, M. (1996). “Tamper Resistance—A Cautionary Note,” Proceedings of the Second Usenix Workshop Electronic Commerce, pp. 1-11.

[11]. Arroyo-Valles, R. Marques, A.G.; Cid-Sueiro, J. , (2011). “Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks”, IEEE Transactions on Wireless Communications, Vol. 10 , No. 1, pp. 164 –175.

[12]. Banerjee and C. Saxena, S. (2013). “Energy conservation in wireless sensor network using block cellular automata” International Conference on Computer Communication and Informatics (ICCCI), pp. 1 – 6,

[13]. Batalin, M.A. and Sukhatme, G.S. (2003). “Efficient exploration without localization,” in Proceedings of IEEE International Conference on Robot Automation. (ICRA), Vol. 2, pp. 2714–2719.

[14]. Braun, T. and Uttel, M. (2003). “A Novel Position Based and Beacon-Less Routing Algorithm for Mobile Ad-Hoc Networks," Proceedings of Third IEEE Workshop Applications and Services in Wireless Networks, pp. 197-210.

[15]. Cai, J., Ee, D., Pham, B., Roe, P. and Zhang, J. (2007). “Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition”, Proceedings of Third International Conference on Intelligent Sensors, Sensor Networks and Information, pp. 293-298.

[16]. Chakrabarti, A., Sabharwal, A. and Aazhang, B. (2003). “Using predictable observer mobility for power efficient design of sensor networks,” in Proceedings of IPSN, pp. 129–145.

[17]. Chamberland, J.F. and Veeravalli, V.V. (2004). “Asymptotic Results for Decentralized Detection in Power Constrained Wireless Sensor Networks,” IEEE Journal on Selected Areas Communication, Vol. 2, No. 6, pp. 1007- 1015.

[18]. Chen, C.E., Ali, A.M. and Wang, H. (2006). “Design and Testing of Robust Acoustic Arrays for Localization and Enhancement of Several Bird Sources”, Proceedings of Fifth International Conference on Information in Sensor Networks, pp. 268-275.

[19]. Chih-Kuang Lin, Kokkinos, T., (2013). “Cross-Layer Solutions for Extended-Range Wireless Sensor Networks” IEEE Sensors Journal, Vol. 13, No. 3, pp. 1044 – 1054.

[20]. Ching-Yung Chang, Chao-Tsum Chang, Yu-Chieh Chen and Hsu-Ruey Chang, (2009). “Obstacle- Resistant Deployment Algorithms for Wireless Sensor Networks,” IEEE Transactions on Vehicular Technology, Vol. 58, No. 6.

[21]. Ching-Yung Chang, Hsu-Ruey Chang, Chen-Chi Hsieh and Chao-Tsun Chang, (2007). “OFRD: Obstacle- Free Robot Deployment Algorithms for Wireless Sensor Networks, ” Proceedings of WCNC, pp. 4374-4379.

[22]. Chou, J., Petrovic, D. and Ramchandran, K. (2003). “A Distributed and Adaptive Signal Processing Approach to Reducing Energy Consumption in Sensor Networks,” Proceedings of IEEE INFOCOM.

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Research Paper

A Novel Method Of Secured Scheme For Smart Grid Wireless Communication

R. Naveenraj* , S. Ranjithkumar, G. Vasanthi, V. Ramya, K. Rathinakumar

- Bachelor of Electronics and Communication Engineering, Knowledge Institute of Technology, India.

Assistant Professor, Electronics and Communication Engineering, Knowledge Institute of Technology, India.

Naveenraj, R., Ranjithkumar, S., Vasanthi, G., Ramya, V., and Rathinakumar, K. (2015). A Novel Method Of Secured Scheme For Smart Grid Wireless Communication. i-manager's Journal on Wireless Communication Networks, 4(1), 11-18. https://doi.org/10.26634/jwcn.4.1.3458

Abstract

In future, the smart grid power transmission could be the most usable system for power transmission, however it also introduces many security problems. To overcome the security problem, the authors have used an encryption scheme which is introduced by an information network in the communication medium. In this paper, the information network can be integrated into the smart grid power transmission. In between the two systems of communication, the previous packets can be taken as re-transmission sequences. Here the re-transmitted packet is marked as “1” and the non retransmitted packet can be marked as “0”. At the time of communication, the re-transmission sequences can be generated at both sides to update the encryption key. In this paper, the smart grid is built by using ZigBee protocol for wireless communication of the information network. The encryption system is designed based on this platform. The result shows that the re-transmission and packet loss can be very low and it is impossible for the attacker to track the updation of the encryption key.

References

[1]. R. Moghe, F. C. Lambert, and D. Divan, (2012). “Smart “Stick-on” sensors for the smart grid,” IEEE Trans. Smart Grid, Vol. 3, pp. 241–252.

[2]. Federal Energy Regulatory Commission, (2011). “Renewables & energy efficiency Generation & efficiency s t a n d a r d s ” [ O n l i n e ] . A v a i l a b l e : h t t p : / / w w w. f e r c . g o v / m a r k e t - o v e r s i g h t / o t h r - mkts/renew.asp

[3]. K. Ren, Z. Li, and R. C. Qiu, (2011). “Guest editorial cyber, physical, and system security for smart grid,” IEEE Trans. Smart Grid, Vol. 2, pp. 643–644.

[4]. DOE's Office of Electricity De-livery and Energy Reliability (2008). “The smart grid: An introduction”.

[5]. P. Jokar, N. Arianpoo, and V. C. M. Leung, “A survey on security issues in smart grids,” Security Commun. Netw., 2012 [Online]. Avail-able: http://onlinelibrary.wiley.com/ doi/10.1002/sec.559/ab-stract.

[6]. T. Liu, Y. Gu, D. Wang, Y. Gui, and X. Guan, “A novel method to de-tect bad data injection attack in smart grid,” in Proc. IEEE INFOCOM Workshop Commun. Control Smart Energy Syst.

[7]. P. McDaniel and S. McLaughlin (2009). “Security and privacy challenges in the smart grid,” IEEE Security Privacy, Vol. 7, pp. 75–77.

[8]. Office of the National Cordination for Smart Grid Interoperability, (2010). “NIST framework and roadmap for smart grid interoperability standards,” [Online]. Available: http://www.nist.gov/smartgrid/

[9]. Cisco, (2009). “Security for the smart grid,” White Paper [ O n - l i n e ] . A v a i l a b l e : h t t p : / / w w w. c i s c o . c o m / w e b / s t r a t e g y / d o c s / e n - e r g y / w h i t e _ p a p e r _c11_539161.pdf

[10]. W. Xudong and Y. Ping, (2011). “Security framework for wireless communi-cations in smart distribution grid,” IEEE Trans. Smart Grid, Vol. 2, pp. 809–818.

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Research Paper

Analysis, Design, Implementation And Performance Evaluation Of LEACH Protocols In Wireless Sensor Network

R. Buvana* , R. Kalaimagal**

* Research Scholar, Kanchi Shri Krishna College of Arts and Science, Kilambi, Kanchipuram, Tamil Nadu.

** Assistant Professor, Government Arts College Men (Autonomous), Nandanam, Tamil Nadu.

Buvana, R., and Magal, R.K. (2015). Analysis, Design, Implementation And Performance Evaluation Of LEACH Protocols In Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 4(1), 19-23. https://doi.org/10.26634/jwcn.4.1.3459

Abstract

A Network which has wireless sensor nodes animatedly form a communication-less network or provisional network without using existing network infrastructure, which is defined as wireless network [1]. The sensing of information in decisive conditions during the emergency state where the sensor network is deployed is its main importance. The benefit of developing sensor network is increasing for practical information in physical environment in different applications either manually or randomly [2]. In this paper, the authors have implemented and evaluated the performance of LEACH protocol with different network parameters on different topologies based on varying the pause time and keeping the speed constant (node speed), which is small (1000 m. x 1000 m.), large (2000 m. x 1000 m.) and very large (2000 m. x 2000 m.) Important parameters are Packet Delivery Fraction, Average, End to End Delay, Average Throughput, and NRL and Packet loss. Wireless Sensor Network (WSN) consist of independent sensors, communicating with each other to monitor the environment. Sensor nodes are usually attached to microcontroller and are powered by battery. The resource constrained nature of WSN implies various challenges in its design and operations, which degrades its performance. However, the major fact that sensor nodes run out of energy quickly, has been an issue. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs, while energy consumption is an essential design issue, which preserves longevity of the network. Out of these, clustering algorithms have gained more importance, in increasing the life time of the WSN, because of their approach in cluster head selection and data aggregation. This paper elaborately compares essential routing protocols using MATLAB and NS2 tools for several chosen scenarios. The paper concludes by mentioning valuable observations made from the analysis of results about several imperative protocols.

References

[1]. K. Khamforoosh, and H. Khamforoush (2009). “A new rounting Algorithm for Energy Reduction in Wireless Sensor Networks”, IEEE.

[2]. J.N Al-Karaki, and A.E. Kamal (2004). “Routing techniques in wireless sensor networks: a survey”, Vol. 11, No. 6, pp.6-28.

[3]. M. Younis, M. Youssef and K. Arisha (2002), “Energy- Aware Routing in Cluster-Based Sensor Networks”, in the th Proceedings of the 10 IEEE/ACM(MASCOTS2002), Fort Worth, TX.

[4]. S. Lindsay and C. Raghavendra (2001), “PEGASIS: Power-Efficient Gathering in Sensor Information Systems”, International Conf. on Communications.

[5]. J.N Al-karaki et al.,(2004). “Data Agggregation in Wireless Sensor Network s – Exact and Approximate”.

[6]. J. N. Al-Karaki, and G. A. Al-Mashaqbeh (2007), “MATLAB: A New Simulation Platform for Wireless Sensor Networks”, International Conference on Sensor Technologies and Applications.

[7]. J.N Al-Karaki et al. (2004). “Data Aggregation in Wireless Sensor Networks – Exact and Approximate Algorithms,” Proc. IEEE Wks. High Perf. Switching and Routing, Phoenix, AZ, pp. 18-21.

[8]. R. V. Biradar, V. C. Patil, Dr. S. Sawant, and Dr. R. R. Mudholkar, “Classification and comparison of routing protocols in wireless sensor networks”, UbiCC Journal, Vol. 4.

[9]. Shio Kumar Singh 1, M P Singh 2, and D K Singh, (2010), “Routing protocols in wireless sensor networks –a survey”, International Journal of Computer Science & Engineering Survey (IJCSES), Vol.1.

[10]. K. Akkaya and M. Younis, "A survey of routing protocols in wireless sensor networks,” Elsevier Ad Hoc Network Journal, Vol. 3, No. 3, pp. 325-349.

[11]. Ziboundra Aliouat, Saud harous, (2012), “An efficient clustering protocol increasing wireless sensor networks lifetime”, Innovations in Information Technology (IIT), IEEE International Conference on Communication, Networking & Broadcasting , pp 194-199.

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Research Paper

Performance Analysis Of Implicit Trust Based Security In AODV Routing Protocol

H. Muthukrishnan* , K. Akila**

* Assistant Professor, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India.

** PG Scholar, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India.

Muthukrishnan, H., and Akila, K. (2015). Performance Analysis Of Implicit Trust Based Security In AODV Routing Protocol. i-manager's Journal on Wireless Communication Networks, 4(1), 24-30. https://doi.org/10.26634/jwcn.4.1.3460

Abstract

In Ad hoc networks, nodes are trusted implicitly based on cooperation between the entities involved in routing operations. As wireless range of nodes are limited, the nodes cooperate with their neighbors in order to extend the entire size of the network. The explicit trust management allows entities to reason with and about trust and to take decisions regarding other entities. In the proposed work, trust is taken as a security solution for AODV protocol, which fits particularly with characteristics of ad hoc networks. Here implicit trust for the AODV protocol has been analyzed using trust specification language and how a trust based reasoning can allow each node to evaluate the behavior of the other nodes, is shown. During route discovery, a node with more trust is selected, based on a router based parameter called 'Trust value'. Route request from the source is accepted by a node only if its trust value is high. Otherwise, the route request is discarded. This approach forms a reliable route from source to destination. The prevention and counter measures have been proposed to resolve the inconsistency for the misbehaving nodes.

References

[1]. S. Marsh, Formalising, (1994). 'Trust as a Computational Concept', Ph.D. Thesis, Department of Mathematics and Computer Science, University of Stirling.

[2]. C. E. Perkins and E. M. Royer, (1999). “Ad Hoc Ondemand Distance Vector Routing,” In Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, New Orleans, LA, 90-100.

[3]. Abolhasan M., Wysocki T., Dutkiewicz E (2004). 'A review of routing protocols for mobile Adhoc networks', Adhoc Networks, 1570-8705, Vol. 2, No. 1, pp. 1-22.

[4]. S. Marti, T.J. Giuli, K. Lai, M. Baker, (2000). Mitigating routing misbehavior in mobile ad hoc networks, Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking (MobiCom '00), ACM, New York, NY, USA, pp. 255–265.

[5]. Pirzada A A, Datta A., McDonald C (2006). 'Incorporating trust and reputation in the DSR protocol for dependable routing ', Elsevier – Computer Communications, 0140-3664, Vol. 29 No. 15, pp. 2806–2821.

[6]. S. Buchegger, J-Y. Le Boudec, (2002). “Performance analysis of the confidant protocol: cooperation of nodes – fairness. Dynamic Ad-hoc networks”, Proceedings of IEEE/ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHOC), IEEE.

[7]. P. Michiardi, R. Molva, (2002). “Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks”, in: IFIP TC6/TC11 Sixth Joint Working Conference on Communications and Multimedia Security: Advanced Communications and Multimedia Security, pp. 107–121.

[8]. Yahalom, B. Klein, T. Beth, (1993). 'Trust relationships in secure systems – a distributed authentication perspective', in: SP'93: Proceedings of the 1993 IEEE Symposium on Security and Privacy, IEEE Computer Society, Washington, USA, pp. 150–164.

[9]. Zhou C V., Leckie C, Karunasekera S (2010). “A survey of coordinated attacks and collaborative intrusion detection”, Elsevier – Computers & Security, 0167-4048, Vol. 29, No. 1, pp. 124–140.

[10]. S. Buchegger, J-Y. Le Boudec, (2003). “The effect of rumor spreading in reputation systems in mobile ad-hoc networks”, in: Wiopt-03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, Sophia-Antipolis, France.

[11]. Laura, (2000). “Energy Consumption Model for performance analysis of routing protocols in MANET”, Journal of mobile networks and application.

[12]. LIXin MIAO Jian –song, (2006). “A new traffic allocation algorithm in AD hoc networks,“ The Journal of China University of Post and Telecommunication, Vol. 13, No. 3.

[13]. Adnane A., BidanC, DeSousa R (2013). 'Trust based security for OLSR routing protocol', Elsevier-Computer and Communication, pp 1159–1171.

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Research Paper

Microstrip Line-Fed Patch Antenna For UWB Applications

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

* M.Tech Student, Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh.

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

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

Srivastava, T., Chandan and Rai, B.S. (2015). Microstrip Line-Fed Patch Antenna For UWB Applications. i-manager's Journal on Wireless Communication Networks, 4(1), 31-35. https://doi.org/10.26634/jwcn.4.1.3461

Abstract

A microstrip line-fed compact Ultra Wideband (UWB) microstrip antenna is proposed for ultra wideband applications. The proposed antenna uses a method to minimize the monopole antenna by using extended ground on the same side of the patch. The ground is extended vertically around the patch. The antenna covers the frequency band from 2.98 to 12.41 GHz with 122% impedance bandwidth which contains a full band of ultra wide band (3.1-10.6 GHz). The antenna is simulated using HFSS v13 and various results are discussed.

References

[1]. Siwiak K, McKeown D (2005). Ultra Wideband Radio Technology. pp. 97–111.

[2]. Federal Communication Commission (2002). Washington, DC, USA, Revision of part 15 of the commission's rules regarding systems First Report and Order FCC 02.V48, Tech. rep.

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

[4]. Latif SI, Shafai L, Sharma S. K. (2005). Bandwidth enhancement and size reduction of microstrip slot antennas. IEEE Trans. Antennas Propag., Vol. 53, pp. 994–1003.

[5]. R.Azim, M.T. Islam, and N. Misram (2011). Compact tapered shape slot antenna for UWB applications. IEEE Antennas Wireless Propag. Lett., Vol 10, pp. 1190-1193.

[6]. Ma TG, Tseng CH. (2006). An ultra wide band coplanar waveguide-fed tapered ring slot antenna. IEEE Trans. Antennas Propag., Vol. 5, pp. 1105–1111.

[7]. N. Behdad, K. Sarabandi (2005). A multi resonant single element wide-band slot antenna. IEEE Trans. Antennas Propag., Vol. 53, pp. 994–1003.

[8]. Jan J. Y., Su J.W. (2005). Band width enhancement of a printed wide slot antenna with a rotated slot. IEEE Trans. Antennas Propag., Vol. 53, pp. 2111–2114.

[9]. Ma T.G., S. K. Jeng (2005). Planar miniature tapered slot fed annular slot antennas for ultra wide band radios. IEEE Trans. Antennas Propag., Vol. 53, pp. 1194–1202.

[10]. A. K. Gautam, S. Yadav, B. K. Kanaujia (2013). A CPWfed Compact UWB Microstrip antenna. IEEE Antennas and Wireless Propag. Lett.,Vol. 12, pp. 151-154.

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

Current Issue Vol. 13 Issue 1

Most Read

Most Cited

Volume 4 Issue 1 April - June 2015

Efficient Schemes To Improve The Life Time Of Wireless Sensor Networks

S. Anandamurugan*

Assistant Professor (SLG), Information Technology, Kongu Engineering College, Erode, India.

Anandamurugan, S. (2015). Efficient Schemes To Improve The Life Time Of Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 4(1), 1-10. https://doi.org/10.26634/jwcn.4.1.3457

Abstract

References

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A Novel Method Of Secured Scheme For Smart Grid Wireless Communication

R. Naveenraj* , S. Ranjithkumar**, G. Vasanthi***, V. Ramya****, K. Rathinakumar*****

*-**** Bachelor of Electronics and Communication Engineering, Knowledge Institute of Technology, India. ***** Assistant Professor, Electronics and Communication Engineering, Knowledge Institute of Technology, India.

Naveenraj, R., Ranjithkumar, S., Vasanthi, G., Ramya, V., and Rathinakumar, K. (2015). A Novel Method Of Secured Scheme For Smart Grid Wireless Communication. i-manager's Journal on Wireless Communication Networks, 4(1), 11-18. https://doi.org/10.26634/jwcn.4.1.3458

Abstract

References

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Analysis, Design, Implementation And Performance Evaluation Of LEACH Protocols In Wireless Sensor Network

R. Buvana* , R. Kalaimagal**

* Research Scholar, Kanchi Shri Krishna College of Arts and Science, Kilambi, Kanchipuram, Tamil Nadu. ** Assistant Professor, Government Arts College Men (Autonomous), Nandanam, Tamil Nadu.

Buvana, R., and Magal, R.K. (2015). Analysis, Design, Implementation And Performance Evaluation Of LEACH Protocols In Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 4(1), 19-23. https://doi.org/10.26634/jwcn.4.1.3459

Abstract

References

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Performance Analysis Of Implicit Trust Based Security In AODV Routing Protocol

H. Muthukrishnan* , K. Akila**

* Assistant Professor, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India. ** PG Scholar, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India.

Muthukrishnan, H., and Akila, K. (2015). Performance Analysis Of Implicit Trust Based Security In AODV Routing Protocol. i-manager's Journal on Wireless Communication Networks, 4(1), 24-30. https://doi.org/10.26634/jwcn.4.1.3460

Abstract

References

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Microstrip Line-Fed Patch Antenna For UWB Applications

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

Srivastava, T., Chandan and Rai, B.S. (2015). Microstrip Line-Fed Patch Antenna For UWB Applications. i-manager's Journal on Wireless Communication Networks, 4(1), 31-35. https://doi.org/10.26634/jwcn.4.1.3461

Abstract

References

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R. Naveenraj* , S. Ranjithkumar, G. Vasanthi, V. Ramya, K. Rathinakumar

- Bachelor of Electronics and Communication Engineering, Knowledge Institute of Technology, India.

Assistant Professor, Electronics and Communication Engineering, Knowledge Institute of Technology, India.

* Research Scholar, Kanchi Shri Krishna College of Arts and Science, Kilambi, Kanchipuram, Tamil Nadu.

** Assistant Professor, Government Arts College Men (Autonomous), Nandanam, Tamil Nadu.

* Assistant Professor, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India.

** PG Scholar, Department of Information Technology, Kongu Engineering College, Perundurai, Erode, India.

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