Routing based on maximizing Output in underwater sensor networks
DOI:
https://doi.org/10.24200/jrset.vol5iss02pp14-29Abstract
In this study we want to optimize routing in underwater sensor networks through considering the spatial distribution of network's sensor nodes and their energy consumption limitation such that the overload of layer routing protocol (including the number of message passing specified to routing operation and waiting time for upper layers) on network output will be decrease, The main feature of this study is simultaneously considering the model of underwater channel, geometric distribution of network and transaction of network layer and MAC sub layer is solving routing problem. In this study we present a routing mathematical model with the capacity of sink movement in wireless sensor networks. We introduce an algorithm to compute the DS in certain modeled networks as a graph. Through simulation, presented design will be evaluated and investigated ,Our presented design is Depth and Energy Aware Dominating Set based Algorithm (DEADS) ( an algorithm based on depth and energy) . In this study we applied MATLAB software for simulation. Finally we conclude that the durability and the trend of active nodes in each period of our presented design is better suggesting that the applicability and capacity of our plan was improved, Also the energy consumption of our design is as a result of more transfer number. Also, head-to-head delay is lower and partially it is followed from the same paradigm.References
M. Al-Bzoor, Y. Zhu, J. Liu, R. Ammar, J.-H. Cui, and S. Rajasekaran, “An adaptive surface sink redeployment strategy for underwater sensor networks,” in Computers and Communications (ISCC), 2013 IEEE Symposium on, pp. IEEE, 2013.
S. I. Aldharrab, Cooperative Communication over Underwater Acoustic Channels. PhD thesis, University of Waterloo, 2014.
M. J. Jannati, A. D. Aref, and V. T. Vakily, “Implementation of cooperative virtual miso communication in underwater acoustic wireless sensor networks,” International Journal of Computer Science Issues (IJCSI), 2015, vol. 8, no. 4.
Y. Luo, L. Pu, Z. Peng, Z. Zhou, and J.-H. Cui, “Ct-mac: a mac protocol for underwater mimo based network uplink communications,” in Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems, 2014, p. 23, ACM.
P. Wang, L. Zhang, and V. O. Li, “Asynchronous cooperative transmission for threedimensional underwater acoustic networks,” IET Communications, 2014, vol. 7, no. 4, pp. 286–294.
C. Gao, Z. Liu, B. Cao, and L. Mu, “Relay selection scheme based on propagation delay for cooperative underwater acoustic network,” in Wireless Communications & Signal Processing (WCSP), 2013 International Conference on, 2014, pp. 1–6, IEEE.
Y. Luo, L. Pu, Z. Peng, Z. Zhou, J.-H. Cui, and Z. Zhang, “Effective relay selection for underwater cooperative acoustic networks,” in Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on, pp. 104–112, IEEE, 2013.
A. Umar, M. Akbar, S. Ahmed, N. Javaid, Z. A. Khan, and U. Qasim, “Underwater wireless sensor networks performance enhancement with cooperative routing and sink mobility,” in Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on.
H. Nasir, N. Javaid, Z. A. Khan, S. Mansoor, U. Qasim, and M. Sher, “Codbr: Coop- erative depth based routing for underwater wireless sensor networks,” in Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on.
R. Su, R. Venkatesan, and C. Li, “A new node coordination scheme for data gath- ering in underwater acoustic sensor networks using autonomous underwater vehi- cle,” inWireless Communications and Networking Conference (WCNC), 2013 IEEE, pp. 4370–4374, IEEE.
J.Wang, D. Li, M. Zhou, and D. Ghosal, “Data collection with multiple mobile actors in underwater sensor networks,” in Distributed Computing Systems Workshops, 2008.ICDCS’08. 28th International Conference on, 2008, pp. 216–221, IEEE.
S. Shen, A. Zhan, P. Yang, and G. Chen, “Exploiting sink mobility to maximize lifetime in 3d underwater sensor networks,” in Communications (ICC), 2010 IEEE International Conference on, 2010, pp. 1–5, IEEE.
J. Luo, J. Panchard, M. Pi´orkowski, M. Grossglauser, and J.-P. Hubaux, “Mobiroute: Routing towards a mobile sink for improving lifetime in sensor networks,” in Dis- tribute Computing in Sensor Systems, 2006, pp. 480–497, Springer.
S. Yoon, A. K. Azad, H. Oh, and S. Kim, “Aurp: An auv-aided underwater routing protocol for underwater acoustic sensor networks,” Sensors, 2012, vol. 12, no. 2, pp.
A. Ahmad, A. Wahid, and D. Kim, “Aeerp: Auv aided energy efficient routing protocol for underwater acoustic sensor network,” in Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks, 2013, pp. 53–60, ACM.
H. Yan, Z. J. Shi, and J.-H. Cui, “Dbr: Depth-based routing for underwater sensor networks,” in Adhoc and Sensor Networks, 2008, pp. 72–86, Springer.
A. Wahid, S. Lee, H.-J. Jeong, and D. Kim, “Eedbr: Energy-efficient depth-based routing protocol for underwater wireless sensor networks,” in Advanced Computer Science and Information Technology, 2012, pp. 223–234, Springer.
N. Javaid, M. Jafri, Z. Khan, U. Qasim, T. Alghamdi, and M. Ali, “iamctd: improved adaptive mobility of courier nodes in threshold-optimized dbr protocol for underwater wireless sensor networks,”
L. Freitag, M. Grund, S. Singh, J. Partan, P. Koski, and K. Ball, “The whoi micromodem: an acoustic communications and navigation system for multiple platforms,” in OCEANS, 2005. Proceedings of MTS/IEEE, 2005, pp. 1086–1092, IEEE.
M. Stojanovic, “On the relationship between capacity and distance in an underwater acoustic communication channel,” ACM SIGMOBILE Mobile Computing and Communications Review, 2007, vol. 11, no. 4, pp. 34–43.
R. J. Urick, Principles of underwater sound for engineers. Tata McGraw-Hill Education, 1967.
A. F. Harris III and M. Zorzi, “Modeling the underwater acoustic channel in ns2,” in Proceedings of the 2nd international conference on Performance evaluation methodologies and tools, p. 18, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2007.
J. Heidemann, M. Stojanovic, and M. Zorzi, “Underwater sensor networks: applications, advances and challenges,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012, vol. 370, no. 1958, pp. 158–175.
M. Ayaz, A. Abdullah, I. Faye, and Y. Batira, “An efficient dynamic addressing based routing protocol for underwater wireless sensor networks,” Computer Communications, 2012, vol. 35, no. 4, pp. 475–486.
J. Wills, W. Ye, and J. Heidemann, “Low-power acoustic modem for dense underwater sensor networks,” in Proceedings of the 1st ACM international workshop on Underwater networks, 2006, pp. 79–85, ACM.
K. El-Darymli, “Amplify-and-forward cooperative relaying for a linear wireless sensor network,” in Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on, 2010, pp. 106–112, IEEE.
Xie P, Cui J-H, Lao L. VBF: vector-based forwarding protocol for underwater sensor networks .Networking 2009.
Jornet JM, Stojanovic M, Zorzi M. “Focused beam routing protocol for underwater acoustic networks”. In: Proceedings of the third ACM international workshop on Underwater Networks. San Francisco (California, USA): ACM; 2015.
Wei L, et al. “Information-carrying based routing protocol for underwater acoustic sensor network. In: Mechatronics and Automation”. ICMA 2014 . Inter- national Conference on. 2014.
Ali K, Hassanein H. “Underwater wireless hybrid sensor networks.” In: Proceedings of the IEEE symposium on computers and communications, ISCC; 2014.
Hai Yan, Zhijie Jerry Shi, and Jun-Hong Cui “Depth –Based Routing for Underwater Sensor Networks” Proceedings of the 2th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internetPages: 22-26 Year of Publication: 2014
Muhammad Ayaz, Azween Abdullah, Low Tang Jung “Dynamic Cluster Based Routing for Underwater Wireless Sensor Networks” International Symposium on Information Technology 2014, Kuala Lumpur, ITSim, June 2013,
Chun-Hao Y, Kuo-Feng S. “An energy-efficient routing protocol in underwater sensor networks.” In: Proceedings of the 3rd international conference on sensing technology, ICST.
Jahangard Sajjadi , Electric engineering conference , Tehran, a routing algorithm based on energy and location of nodes in underwater sensor networks, 1395 .
Masume fakhrabadi , national conference of electronic and computer in southern iran , review of routing algorithm in underwater sensor networks, 1392.
Ramin Ahmadi, Electronic enginner conference , Tehran , routing algorithm in underwater sensor networks, 1393.
B akram heyrani , First National Conference on Science engineering,Tehran , m Improving DBR routing algorithm for Underwater sensor networks through a simple possible scheme, 1393.
