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EEMCCP - A Novel Architecture Protocol Design for Efficient Data Transmission in Underwater Acoustic Wireless Sensor Network


Affiliations
1 Department of MCA, MEASI Institute of Information Technology, Chennai, Tamil Nadu, India
2 Department of Software Applications, Thiruthangal Nadar College, Chennai, Tamil Nadu, India
3 Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Tamil Nadu, India
4 School of Engineering and Computing, Western Sydney University, NSW, Australia
 

Underwater communication is a newer addition to the ad hoc network arena as it opens several avenues of research that can be carried out under water. It has a varied range of applications which it carries out with the help of Autonomous Underwater Vehicles (AUV).Acoustic waves are used for sending out the network signals because they tend to have a lower attenuation under water. Underwater Acoustic Communication (UWAC) is used to send and receive signals underwater. Since UWAC is a relatively new field, there are still a lot of challenges to overcome. Unlike terrestrial communication, UWAC has to encounter factors like limited bandwidth, longer propagation delay, Doppler Effect, and channel availability problems. All of these factors have a direct effect on the throughput. Clustering the network can effectively help in managing the network efficiently. We have proposed an Energy Efficient Minimum Cost Cluster routing Protocol (EEMCCP), which routes packets with the help of clusters. The clustering of the network is efficiently achieved by using the Chaotic Algae Algorithm (CAA).After clustering the network, one node from each cluster acts as the Cluster Head (CH). The proposed protocol does not require any node position information and also ensures that, only a minimal number of nodes are involved in the end to end routing process. Some of the Cluster Heads are selected as gateway nodes based on their RSSI (Received Signal Strength Indictor) values of the Hello packets. Selected CHs are appointed as gateway nodes that are responsible for supplying the data to the AUV nodes that are nearer to them. When these gateway CH nodes exhaust their energy, back up nodes act as gateway nodes thus making the protocol a flexible one. In fact, the node location and position are not taken into consideration. The AUV nodes transfer the acquired information to a communication link which in turn transfers the data to a terrestrial destination. The EEMCCP focuses towards a cost effective solution for transmitting data. The performance of EEMCCP is compared with the existing protocols employed for underwater communication. From the analysis, we find that EEMCCP achieves a good throughput and PDR than the existing protocols.

Keywords

EEMCCP, AEERP, EEDBR, AUV, Gateway Nodes, RSSI, Routing, Cluster, Cluster Head, CAA.
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  • AG. A. Hollinger, S. Choudhary, P. Qarabaqi, C. Murphy, U. Mitra, G. S. Sukhatme, M. Stojanovic, H. Singh, and F. Hover, "Communication protocols for underwater data collection using a robotic sensor network," IEEE GLOBECOM Workshops, 2011, pp. 1308-1313.
  • Seokhoon Yoon, Abul K. Azad, Hoon Oh and Sunghwan Kim, "AURP: An AUV-Aided Underwater Routing Protocol for Underwater Acoustic Sensor Networks", Sensors 2012, 12(2), 1827- 1845.
  • F. Akyildiz, D. Pompili, and T. Melodia, "Underwater acoustic sensor networks: research challenges", Ad Hoc Networks, vol. 3, no. 3, pp. 257-279, 2005
  • E. M. Sozer, M. Stojanovic, and J. G. Proakis, "Initialization and Routing Optimization for Ad-Hoc Underwater Acoustic Networks," Optical network - 2000
  • Caiti A, Grythe K, Hovem JM, Jesus SM, Lie A, Munafo A, Reinen TA, Silva A, Zabel F. Linking acoustic communications and network performance: integration and experimentation of an underwater acoustic network. IEEE Journal of Oceanic Engineering. 2013 Oct; 38(4):758-71.
  • W. Zhang, M. Stojanovic, and U. Mitra, "Analysis of a simple Multihop underwater acoustic network," in Proceedings of the Third ACM International Workshop on Underwater Networks, ser. WuWNeT ’08. New York, NY, USA: ACM, 2008, pp. 3-10.
  • A. Stefanov and M. Stojanovic, "Design and performance analysis of underwater acoustic networks," IEEE Journal on Selected Areas in Communications, vol. 29, no. 10, pp. 2012-2021, December 2011.
  • C. W. Ahn and J.-H. Lee, "Wireless cooperative communication: A survey," in Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ser. ICUIMC ’11. New York, NY, USA: ACM, 2011, pp. 78:1-78:6.
  • Dario Pompili and Tommaso Melodia, "Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks," in Proceedings of the 12th Annual International Conference on Mobile Computing and Networking, ser. MobiCom ’06. New York, NY, USA: ACM, 2006, pp. 298-309.
  • Federico Favaro, Paolo Casari, Federico Guerra, Michele Zorzi, "Data Upload from a Static Underwater Network to an AUV: Polling or Random Access," IEEE Oceans 2012.
  • D.A. Paley, F. Zhang, and N.E. Leonard, "Cooperative Control for Ocean Sampling: The Glider Coordinated Control System," IEEE Trans. Control Systems Technology, vol. 16, no. 4, pp. 735-744, July 2008.
  • B. Liu, P.B.O. Dousse, P. Nain, and D. Towsley, "Mobility Improves Coverage of Sensor Networks," Proc. ACM MobiHoc, 2005
  • Y. Yu and J.L. Rittle, "Utility-Driven Spatiotemporal Sampling in Mobile Sensor Networks," Proc. IEEE INFOCOM ’08, Apr. 2008.
  • Geoffrey A. Hollinger, Sunav Choudhary, Parastoo Qarabaqi, Christopher Murphy, Urbashi Mitra, Gaurav S. Sukhatme, Milica Stojanovic, Hanumant Singh, Franz Hover, "Autonomous Data Collection from Underwater Sensor Networks using Acoustic Communication," IEEE Journal on Selected Areas in Communication 2012.
  • E. Balas, "The Prize Collecting Traveling Salesman Problem," Networks, vol. 19, pp. 621-636, 1989.
  • H. Bojinov, A. Casal, and T. Hogg, "Emergent structures in modular self-reconfigurable robots," in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1734-1741, San Francisco, Calif, USA, April 2000.
  • AG. A. Hollinger, S. Choudhary, P. Qarabaqi, C. Murphy, U. Mitra, G. S. Sukhatme, M. Stojanovic, H. Singh, and F. Hover, "Communication protocols for underwater data collection using a robotic sensor network," IEEE GLOBECOM Workshops, 2011, Dec. 2011, pp. 1308-1313.
  • Sathiamoorthy, J., and B. Ramakrishnan. "Energy and delay efficient dynamic cluster formation using improved ant colony optimization algorithm in EAACK MANETs." Wireless Personal Communications 95, no. 2 (2017): 1531-1552.
  • Harb H, Makhoul A, Couturier R. An enhanced K-means and ANOVA-based clustering approach for similarity aggregation in underwater wireless sensor network. IEEE Sensors Journal. 2015 Oct; 15(10):5483-93.
  • Sathiamoorthy, J., and B. Ramakrishnan. "A competent three-tier fuzzy cluster algorithm for enhanced data transmission in cluster EAACK MANETs." Soft Computing 22, no. 19 (2018): 6545-6565.
  • Sathiamoorthy, J., B. Ramakrishnan, and M. Usha. "A reliable and secure data transmission in CEAACK MANETs using distinct dynamic key with classified digital signature cryptographic algorithm." In 2015 International Conference on Computing and Communications Technologies (ICCCT), pp. 144-151. IEEE, 2015.
  • Forghani, Azadeh, Amir Masoud Rahmani, and Ahmad Khademzadeh. "QCTC: QoS-based clustering topology control algorithm for wireless sensor networks." In 2008 International Conference on Advanced Computer Theory and Engineering, pp. 966-970. IEEE, 2008.
  • Sathiamoorthy, J., Ramakrishnan, B., & Usha, M. (2015). Design of a competent broadcast algorithm for reliable transmission in CEAACK MANETs. Journal of Network Communications and Emerging Technologies, 5(1), 144-151.
  • Taheri, H., Neamatollahi, P., Younis, O. M., Naghibzadeh, S., & Yaghmaee, M. H. (2012). An energyaware distributed clustering protocol in wireless sensor networks using fuzzy logic. Journal of Ad Hoc Networks, 10(7), 1469-1481.
  • Bagci, H., & Yazici, A. (2010). An energy aware fuzzy unequal clustering algorithm for wireless sensor networks. Applied Soft Computing, 13(4), 1741-1749.
  • Pranay Kumar Baghel and Anil Kumar Mishra (2016), Comparative Analysis of Different Approaches for Navigation and Path Planning, International Journal of Emerging Technologies in Engineering Research (IJETER), Volume 4, Issue 6,2016.
  • Ravinder Kaurand Dr. Neeraj Sharma (2015), A Node Authentication Mechanism to Enhance the Security in VANETs, International Journal of Emerging Technologies in Engineering Research (IJETER), Volume 1, Issue 2,2015
  • Er. Jagdeep Kaurand Prof. (Dr.) Jatinder Singh (2015), Particle Swarm Optimization Based Neural Network, International Journal of Emerging Technologies in Engineering Research (IJETER), Volume 3, Issue 2, 2015
  • Linfeng Liu, Ye Liu," On Exploiting Signal Irregularity with Topology Control for Mobile Underwater Wireless Sensor Networks", proc. IEEE Globecom - Ad Hoc and Sensor Networking Symposium, pp. 522-527, 2013.
  • Seokhoon Yoon, Abul K. Azad, Hoon Oh and Sunghwan Kim, "AURP: An AUV-Aided Underwater Routing Protocol for Underwater Acoustic Sensor Networks", Sensors 2012, 12(2), 1827- 1845.
  • Chen, Yuh-Shyan, and Yun-Wei Lin. "Mobicast routing protocol for underwater sensor networks." IEEE Sensors journal 13, no. 2 (2012): 737-749.
  • Favaro, Federico, Paolo Casari, Federico Guerra, and Michele Zorzi. "Data upload from a static underwater network to an AUV: Polling or random access?." In 2012 Oceans-Yeosu, pp. 1-6. IEEE, 2012.

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  • EEMCCP - A Novel Architecture Protocol Design for Efficient Data Transmission in Underwater Acoustic Wireless Sensor Network

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Authors

M. Usha
Department of MCA, MEASI Institute of Information Technology, Chennai, Tamil Nadu, India
J. Sathiamoorthy
Department of Software Applications, Thiruthangal Nadar College, Chennai, Tamil Nadu, India
R. Ashween
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Tamil Nadu, India
Bhagavath Nishanth Ramakrishnan
School of Engineering and Computing, Western Sydney University, NSW, Australia

Abstract


Underwater communication is a newer addition to the ad hoc network arena as it opens several avenues of research that can be carried out under water. It has a varied range of applications which it carries out with the help of Autonomous Underwater Vehicles (AUV).Acoustic waves are used for sending out the network signals because they tend to have a lower attenuation under water. Underwater Acoustic Communication (UWAC) is used to send and receive signals underwater. Since UWAC is a relatively new field, there are still a lot of challenges to overcome. Unlike terrestrial communication, UWAC has to encounter factors like limited bandwidth, longer propagation delay, Doppler Effect, and channel availability problems. All of these factors have a direct effect on the throughput. Clustering the network can effectively help in managing the network efficiently. We have proposed an Energy Efficient Minimum Cost Cluster routing Protocol (EEMCCP), which routes packets with the help of clusters. The clustering of the network is efficiently achieved by using the Chaotic Algae Algorithm (CAA).After clustering the network, one node from each cluster acts as the Cluster Head (CH). The proposed protocol does not require any node position information and also ensures that, only a minimal number of nodes are involved in the end to end routing process. Some of the Cluster Heads are selected as gateway nodes based on their RSSI (Received Signal Strength Indictor) values of the Hello packets. Selected CHs are appointed as gateway nodes that are responsible for supplying the data to the AUV nodes that are nearer to them. When these gateway CH nodes exhaust their energy, back up nodes act as gateway nodes thus making the protocol a flexible one. In fact, the node location and position are not taken into consideration. The AUV nodes transfer the acquired information to a communication link which in turn transfers the data to a terrestrial destination. The EEMCCP focuses towards a cost effective solution for transmitting data. The performance of EEMCCP is compared with the existing protocols employed for underwater communication. From the analysis, we find that EEMCCP achieves a good throughput and PDR than the existing protocols.

Keywords


EEMCCP, AEERP, EEDBR, AUV, Gateway Nodes, RSSI, Routing, Cluster, Cluster Head, CAA.

References





DOI: https://doi.org/10.22247/ijcna%2F2020%2F195674