MATEC Web of Conferences
Volume 57, 20164th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|Number of page(s)||5|
|Section||Electronic & Electrical Engineering|
|Published online||11 May 2016|
- Azzedine Boukerche, “Performance Evaluation of Routing Protocols for Ad Hoc Wireless Networks”, Mobile Networks and Applications 9, pp.333–342, (2004). [CrossRef] [Google Scholar]
- Abid Ali Minhas, Fazl-e-Hadi, Danish Sattar, KashifMustaq and S. Ali Rizvi,“Energy Efficient Multicast Routing Protocols for Wireless Sensor Networks”,World congress on information and technology , pp.178–181, (2011). [Google Scholar]
- B.Baranidharan, B.Shanthi, “A Survey on Energy Efficient Protocols for Wireless Sensor Networks”, International Journal of Computer Applications (0975 – 8887) Vol.11, No.10, pp.35–40, December (2010). [CrossRef] [Google Scholar]
- Charles E Perkins, Elizabeth M Royer, “Adhoc OnDemand Distance Vector Routing”, Mobile Computing Systems and Applications, 2000. Proceedings, pp.1–11. IEEE, (2000) [Google Scholar]
- Daehee Kim, Sejun Song,and Baek-Young Cho, “Energy-Efficient Adaptive Geosource Multicast Routing for Wireless Sensor Networks, Hindawi Publishing Corporation Journal of Sensors, pp.1–14, (2013) [Google Scholar]
- David B. Johnson ,David A. Maltz ,Josh Broch, “DSR: The Dynamic Source Routing Protocol for Multi-Hop Wireless Ad Hoc Networks ,” Mobile Computing, T. Imielinski and H. Korth, Eds, vol. 5 [Google Scholar]
- Emad Felemban, “MMSPEED: Multipath Multi-SPEED Protocolfor QoS Guarantee of Reliability and Timeliness in Wireless Sensor Networks”, IEEE Transactions On Mobile Computing, Vol. 5, No. 6, pp.738–754, (2006) [CrossRef] [Google Scholar]
- Heng Liu, Yan-tao Liu, Ting Yan, “Making On-demand Multicast Routing Protocol Aware of Energy in Wireless Sensor Networks”, pp.1–4, IEEE , (2008) [Google Scholar]
- Hyuntae Cho and Yunju Baek, “Location-Based Routing Protocol for Energy Efficiency in Wireless Sensor, pp. 622 – 631, IEEE , (2005) [Google Scholar]
- Jorge Sa Silva, Tiago Camilo, Pedro Pinto, Ricardo Ruivo, Andre Rodrigues, “Multicast and IP Multicast support in Wireless Sensor Networks”, Wireless Pervasive Computing, 2007. ISWPC ’07. 2nd International Symposium on, IEEE, (2007) [Google Scholar]
- Kiyotaka Oe, Akio Koyama, Leonard Barolli, “Performance Evaluation of a Multicast Routing Protocol for Wireless Mesh Networks Considering Network Load”, IEEE 27th International Conference on Advanced Information Networking and Applications, Vol. , No. 4, pp.591–597, (2013) [Google Scholar]
- Luo Junhai, Ye Danxia, Xue Liu, and Fan Mingyu, “A Survey of Multicast Routing Protocols for Mobile Wireless Networks”, IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 11, NO. 1, pp.78–91, (2009) [CrossRef] [Google Scholar]
- Manish V. Bhosle, Mininath K. Nighot and Somitra S. Das , “An Energy Efficient and Reliable Location wise Data Aggregation In WSN, IEEE International Conference on Computing Communication Control and Automation”, pp.322–326, (2015) [Google Scholar]
- M. Raj Kumar Naik, Hemant Bhardwaj and P.Samundiswary, “Residual Energy Analysis of DEC and Delivery Ratio Analysis of E-AOMDV protocol for Mobile Sensor Networks”, International conference on Communication and Signal Processing, April, 2013, India, pp.509–513, IEEE, 2013. [Google Scholar]
- Mohammad-Amin Kharraz, Hamid Sarbazi-Azad and Albert Y. Zomaya, “On-demand multicast routing protocol with efficient route discovery”, ELSVIER journal of Network and Computer Applications, pp. 942–950, (2012) [CrossRef] [Google Scholar]
- Mohamad Nazim Jambli, Kartinah Zen, Halikul Lenando, “Performance Evaluation of AODV Routing Protocol for Mobile Wireless Sensor Network”, IEEE 7th International Conference on IT in Asia (CITA), pp.1–6, (2011) [Google Scholar]
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