Computational Performance for UWSN Protocol in Mobile Sink Data Transmission
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : Shyni M.V, Dr.A.C.Subhajini, J.P.Jayan|
|DOI : 10.14445/22312803/IJCTT-V59P119|
Shyni M.V, Dr.A.C.Subhajini, J.P.Jayan "Computational Performance for UWSN Protocol in Mobile Sink Data Transmission". International Journal of Computer Trends and Technology (IJCTT) V59(2):110-114, May 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Remote sensor systems (WSNs) comprise of number of sensor hubs and sinks that are conveyed to perform observing assignment in required territory. Correspondence with the assistance of submerged remote sensor systems (UWSNs) is a rising and promising framework, which has extensive variety of uses like catastrophe avoidance, safeguard, oil and mineral extractions and route. UWSN are utilized as a part of systems administration to gather information from sensor hubs specifically to adjust the vitality utilization of hubs in the system. UWSNs are troublesome in light of restricted battery vitality of sensor hubs. In this paper, a vitality productive directing convention is proposed to adjust the heap between hubs in UWSNs. MEES utilizes two portable sinks for most extreme system scope. Both portable sinks take after straight predefine ways to gather information from senor hubs specifically which expands the system throughput and drag out the system lifetime. Reenactment comes about approve that our propose plot outflanks the looked at plans (SEEC, BEEC) as far as system lifetime, throughput, and vitality utilization.
 Javaid, N., Jafri, M.R., Khan, Z.A., Qasim, U., Alghamdi, T.A. and Ali, M.iAMCTD: Improved adaptive mobility of courier nodes in thresholdoptimized dbr protocol for underwater wireless sensor networks. International Journal of Distributed Sensor Networks, 2014.
 Ian F. Akyildiz, Pompili Dario, Melodia Tommaso.Underwater acoustic sensor networks: research challenges Ad Hoc Networks, 2005.
 Ian F. Akyildiz, Pompili Dario, Melodia Tommaso.State-of-the-art in protocol research for underwater acoustic sensor networks Proceedings of the 1st ACM International Workshop on Underwater Networks, ACM, 2006.
 Jim Partan, Jim Kurose, Neil Levine Brian. A survey of practical issues in underwater networks. ACM SIGMOBILE Mobile Comput. Commun. Rev. 11, 2007.
 Azam, I., Majid, A., Ahmad, I., Shakeel, U., Maqsood, H., Khan, Z.A., Qasim, U. and Javaid, N., 2016, March. “SEEC: Sparsity-aware energy efficient clustering protocol for underwater wireless sensor networks”. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) (pp. 352-361). IEEE.
 Majid, A., Azam, I., Waheed, A., Zain-ul-Abidin, M., Hafeez, T., Khan, Z.A., Qasim, U. and Javaid, N., 2016, March. “An energy efficient and balanced energy consumption cluster based routing protocol for underwater wireless sensor networks”. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) (pp. 324-333). IEEE.
 Akbar, M., Javaid, N., Khan, A.H., Imran, M., Shoaib, M. and Vasilakos, A., 2016. “Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility”. Sensors, 16(3), p.404.
 Wahid A, Kim D. An energy efficient localization-free routing protocol for underwater wireless sensor networks. International journal of distributed sensor networks, 2012
 Yu, Haitao, Nianmin Yao, Tong Wang, Guangshun Li, Zhenguo Gao, and Guozhen Tan. “WDFAD-DBR: Weighting depth and forwarding area division DBR routing protocol for UASNs.” Ad Hoc Networks 37 (2016): 256-282
 Park, Junho, Kyoungsoo Bok, Dongook Seong, Sanglae Kim, and Jaesoo Yoo. “A Data Gathering Method Based on a Mobile Sink for Minimizing the Data Loss in Wireless Sensor Networks.” International Journal of Distributed Sensor Networks 2014 (2014).
 Ahmad, Awais, M. Mazhar Rathore, Anand Paul, and Bo-Wei Chen. “Data transmission scheme using mobile sink in static wireless sensor network.” Journal of Sensors 2015 (2015).
 Akbar, Mariam, Nadeem Javaid, Ayesha Hussain Khan, Muhammad Imran, Muhammad Shoaib, and Athanasios Vasilakos. “Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility.” Sensors 16, no. 3 (2016): 404.
 Xie, Peng, Jun-Hong Cui, and Li Lao. “VBF: vector-based forwarding protocol for underwater sensor networks.” In Networking 2006. Networking technologies, services, and protocols; performance of computer and communication networks; mobile and wireless communications systems, pp. 1216-1221. Springer Berlin Heidelberg, 2006.
 Qarabaqi, P. and Stojanovic, M., 2011, June. “Adaptive power control for underwater acoustic communications”. In OCEANS 2011 IEEESpain (pp. 1-7). IEEE.
 Cao, J., Dou, J. and Dong, S., 2015. “Balance transmission mechanism in underwater acoustic sensor networks”. International Journal of Distributed Sensor Networks, 2015, p.2.
Underwater Wireless Sensor Networks, Mobile sink, Network lifetime, Throughput