http://iet.metastore.ingenta.com
1887

Radius-based multipath courier node routing protocol for acoustic communications

Radius-based multipath courier node routing protocol for acoustic communications

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Wireless Sensor Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Received 04/12/2017, Accepted 02/04/2018, Revised 16/03/2018, Published 04/04/2018

Underwater wireless sensor networks (UWSNs) use acoustic waves to communicate in an underwater environment. Acoustic channels have various limitations such as low bandwidth, a higher end-to-end delay, and path loss at certain nodes. Considering the limitations of UWSNs, energy efficient communication and reliability of UWSNs have become an inevitable research area. The current research interests are to operate sensors for a longer time. The currently investigated research area towards efficient communication has various challenges, like flooding, multiple copies creation path loss and low network life time. Hence, it is different from previous work which solved certain challenges by measuring the depth, residual energy, and assigning hop-IDs to nodes. This study has proposed a novel scheme called radius-based courier node (RMCN) routing. RMCN uses radius-based architecture in combination with a cost function, track-ID, residual energy, and depth to forward data packets. The RMCN is specifically designed for long-term monitoring with higher energy efficiency and packet delivery ratio. The purpose of RMCN is to facilitate a network for longer periods in risky areas. The proposed routing scheme has been compared with depth-based routing and energy-efficient multipath grid-based geographic routing with respect to alive nodes left, end to end delay, delivery ratio and energy consumption.

Inspec keywords: energy conservation; telecommunication power management; routing protocols; underwater acoustic communication; power consumption; wireless sensor networks

Other keywords: higher energy efficiency; geographic routing; wireless sensor networks; energy efficient communication; routing protocol; acoustic waves; underwater environment; energy-efficient multipath grid; long-term monitoring; residual energy; acoustic communications; multipath courier node; radius-based multipath courier node; underwater wireless sensor networks; forward data packets; packet delivery ratio; energy consumption; acoustic channels

Subjects: Protocols; Communication network design, planning and routing; Acoustic and other telecommunication systems and equipment; Wireless sensor networks

References

    1. 1)
      • 1. Noh, Y., Lee, U., Lee, S., et al: ‘Hydrocast: pressure routing for underwater sensor networks’, IEEE Trans. Veh. Technol., 2016, 65, (1), pp. 333–347.
    2. 2)
      • 2. Zenia, N.Z., Aseeri, M., Ahmed, M.R., et al: ‘Energy-efficiency and reliability in mac and routing protocols for underwater wireless sensor network: a survey’, J. Netw. Comput. Appl., 2016, 71, pp. 72–85.
    3. 3)
      • 3. Tuna, G., Gungor, V.C.: ‘A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks’, Int. J. Commun. Syst., 2017, pp. 1–21.
    4. 4)
      • 4. Xu, G., Shen, W., Wang, X.: ‘Applications of wireless sensor networks in marine environment monitoring: a survey’, Sensors, 2014, 14, (9), pp. 16 932–16 954.
    5. 5)
      • 5. Chen, K., Ma, M., Cheng, E., et al: ‘A survey on mac protocols for underwater wireless sensor networks’, IEEE Commun. Surv. Tutorials, 2014, 16, (3), pp. 1433–1447.
    6. 6)
      • 6. Aziz, A.A., Sekercioglu, Y.A., Fitzpatrick, P., et al: ‘A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks’, IEEE Commun. Surv. Tutorials, 2013, 15, (1), pp. 121–144.
    7. 7)
      • 7. Rault, T., Bouabdallah, A., Challal, Y.: ‘Energy efficiency in wireless sensor networks: a top-down survey’, Comput. Netw., 2014, 67, pp. 104–122.
    8. 8)
      • 8. Cho, H.-H., Chen, C.-Y., Shih, T. K., et al: ‘Survey on underwater delay/disruption tolerant wireless sensor network routing’, IET Wirel. Sensor Syst., 2014, 4, (3), pp. 112–121.
    9. 9)
      • 9. Li, N., Martínez, J.-F., Meneses Chaus, J.M., et al: ‘A survey on underwater acoustic sensor network routing protocols’, Sensors, 2016, 16, (3), p. 414.
    10. 10)
      • 10. Jiang, P., Wang, X., Jiang, L.: ‘Node deployment algorithm based on connected tree for underwater sensor networks’, Sensors, 2015, 15, (7), pp. 16 763–16 785.
    11. 11)
      • 11. Han, G., Zhang, C., Shu, L., et al: ‘A survey on deployment algorithms in underwater acoustic sensor networks’, Int. J. Distrib. Sensor Netw., 2013, 9, (12), p. 314049.
    12. 12)
      • 12. Khalid, M., Ullah, Z., Ahmad, N., et al: ‘A survey of routing issues and associated protocols in underwater wireless sensor networks’, J. Sens., 2017, 2017, pp. 1–17.
    13. 13)
      • 13. Das, A.P., Thampi, S.M.: ‘Simulation tools for underwater sensor networks: a survey’, Netw. Protocols Algorithms, 2017, 8, (4), pp. 41–55.
    14. 14)
      • 14. Rawat, P., Singh, K.D., Chaouchi, H., et al: ‘Wireless sensor networks: a survey on recent developments and potential synergies’, J. Supercomput., 2014, 68, (1), pp. 1–48.
    15. 15)
      • 15. Xiangning, F., Yulin, S.: ‘Improvement on leach protocol of wireless sensor network’.  Int. Conf. on Sensor Technologies and Applications, 2007 (SensorComm 2007), 2007, pp. 260–264.
    16. 16)
      • 16. Chand, S., Singh, S., Kumar, B.: ‘Heterogeneous heed protocol for wireless sensor networks’, Wirel. Pers. Commun., 2014, 77, (3), pp. 2117–2139.
    17. 17)
      • 17. Pompili, D., Akyildiz, I.F.: ‘A multimedia cross-layer protocol for underwater acoustic sensor networks’, IEEE Trans. Wirel. Commun., 2010, 9, (9), pp. 2924–2933.
    18. 18)
      • 18. Gopi, S., Govindan, K., Chander, D., et al: ‘E-PULRP: energy optimized path unaware layered routing protocol for underwater sensor networks’, IEEE Trans. Wirel. Commun., 2010, 9, (11), pp. 3391–3401.
    19. 19)
      • 19. Xu, J., Li, K., Min, G.: ‘Asymmetric multi-path division communications in underwater acoustic networks with fading channels’, J. Comput. Syst. Sci., 2013, 79, (2), pp. 269–278.
    20. 20)
      • 20. Khalid, M., Ullah, Z., Ahmad, N., et al: ‘Comparison of localization free routing protocols in underwater wireless sensor networks’, Int. J. Adv. Comput. Sci. Appl., 2017, 8, (3), pp. 408–414.
    21. 21)
      • 21. Khalid, M., Ullah, Z., Ahmad, N., et al: ‘A comparative simulation based analysis of location based routing protocols in underwater wireless sensor networks’. IEEE Workshop on Recent Trends in Telecommunications Research (RTTR), 2017, pp. 1–5.
    22. 22)
      • 22. Peng, L.L.X., Cui, J.-H.: ‘VBF: vector-based forwarding protocol for underwater sensor networks’. Int. Conf. on Research in Networking, 2006, pp. 1216–1221.
    23. 23)
      • 23. Nicolaou, N., See, A., Xie, P., et al: ‘Improving the robustness of location-based routing for underwater sensor networks’. Proc. OCEANS 2007 Europe, 2007, pp. 1–6.
    24. 24)
      • 24. Yan, H., Shi, Z., Cui, J.-H.: ‘DBR: depth-based routing for underwater sensor networks’. Networking 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, 2008, pp. 72–86.
    25. 25)
      • 25. Wahid, A., Kim, D.: ‘An energy efficient localization-free routing protocol for underwater wireless sensor networks’, Int. J. Distrib. Sensor Netw., 2012, 8, (4), p. 307246.
    26. 26)
      • 26. Ayaz, M., Abdullah, A.: ‘Hop-by-hop dynamic addressing based (H2-DAB) routing protocol for underwater wireless sensor networks’. IEEE Int. Conf. on Information and Multimedia Technology, 2009 (ICIMT'09). IEEE, 2009, pp. 436–441.
    27. 27)
      • 27. Ayaz, I.F.Y.B.M., Abdullah, A.: ‘An efficient dynamic addressing based routing protocol for underwater wireless sensor networks’, J. Comput. Commun., 2012, 35, (4), pp. 475–486.
    28. 28)
      • 28. Eugenio, M.: ‘A mobile delay-tolerant approach to long-term energy-efficient underwater sensor networking’. Proc. IEEE Wireless Communications and Networking Conf. (WCNC), 2007, pp. 2866–2871.
    29. 29)
      • 29. Al Salti, F., Alzeidi, N., Arafeh, B.R.: ‘EMGGR: an energy-efficient multipath grid-based geographic routing protocol for underwater wireless sensor networks’, Wirel. Netw., 2017, 23, (4), pp. 1301–1314.
    30. 30)
      • 30. Jiang, J., Han, G., Guo, H., et al: ‘Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks’, J. Netw. Comput. Appl., 2016, 59, pp. 4–13.
    31. 31)
      • 31. Luo, H., Guo, Z., Wu, K., et al: ‘Energy balanced strategies for maximizing the lifetime of sparsely deployed underwater acoustic sensor networks’, Sensors, 2009, 9, (9), pp. 6626–6651.
    32. 32)
      • 32. Jafri, M. R., Ahmed, S., Javaid, N., et al: ‘AMCTD: adaptive mobility of courier nodes in threshold-optimized DBR protocol for underwater wireless sensor networks’. 2013 Eighth International Conf. on Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013, pp. 93–99.
    33. 33)
      • 33. Llor, J., Malumbres, M.P.: ‘Underwater wireless sensor networks: how do acoustic propagation models impact the performance of higher-level protocols?’, Sensors, 2012, 12, (2), pp. 1312–1335.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2017.0165
Loading

Related content

content/journals/10.1049/iet-wss.2017.0165
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address