Nothing Special   »   [go: up one dir, main page]
Skip to main content

Advertisement

Springer Nature Link
Log in

Fair energy management with void hole avoidance in intelligent heterogeneous underwater WSNs

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Due to the detrimental nature of aquatic environment, the design of routing protocols for underwater wireless sensor networks (UWSNs) faces numerous challenges, such as an optimal route selection, energy efficiency, propagation delay, etc. However, the energy efficiency is considered a key parameter while designing a routing strategy for UWSNs. Therefore, the dissipation of energy needs to be efficient for the prolongation of the network lifespan. For efficient battery consumption of a node, redundant data transmissions and communication over long distances are desired to be controlled because data transmissions over long distances causes an uneven dissipation of energy resulting in void hole creation. Due to the void hole creation, the node can not forward its data towards the destination because of the unavailability of relay node(s). In order to avoid the creation of void holes, we propose a routing mechanism which detects a void hole prior to its occurrence and takes an alternative route for successful data delivery. We compute an optimal number of forwarders at each hop as back up potential forwarders nodes to reduce the probability of data loss because of void hole occurrence. In addition, forwarding communication range is logically divided in to sub-forwarding areas in order to suppress the number of duplicate transmissions. We perform simulations to show that our claims are well grounded. The results depict that the proposed work has outperformed the compared baseline schemes (WDFAD-DBR and VHGOR) in terms of packet delivery ratio (PDR), total energy tax, end to end delay and number of redundant packets.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Jiang J, Han G, Guo H, Shu L, Rodrigues JJ (2016) Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks. J Netw Comput Appl 59:4–13

    Article  Google Scholar 

  • Yu H, Yao N, Wang T, Li G, Gao Z, Tan G (2016) WDFAD-DBR: weighting depth and forwarding area division DBR routing protocol for UASNs. Ad Hoc Netw 37:256–282

    Article  Google Scholar 

  • Javaid N, Shah M, Ahmad A, Imran M, Khan MI, Vasilakos AV (2016) An enhanced energy balanced data transmission protocol for underwater acoustic sensor networks. Sensors 16(4):487

    Article  Google Scholar 

  • Ayaz M, Abdullah A, Faye I (2010) Hop-by-hop reliable data deliveries for underwater wireless sensor networks. In Broadband, Wireless Computing, Communication and Applications (BWCCA), 2010 International Conference on IEEE, pp 363–368

  • Coutinho RW, Boukerche A, Vieira LF, Loureiro AA, (2014) GEDAR: geographic and opportunistic routing protocol with depth adjustment for mobile underwater sensor networks. In Communications (ICC), 2014 IEEE International Conference on IEEE, pp 251–256

  • Kanthimathi N (2017) Void handling using Geo-Opportunistic Routing in underwater wireless sensor networks. Computers and Electrical Engineering

  • Yan H, Shi ZJ, Cui JH (2008) DBR: depth-based routing for underwater sensor networks. In International conference on research in networking, pp 72–86. Springer, Berlin

    Chapter  Google Scholar 

  • Wahid A, Lee S, Jeong HJ, Kim D (2011) Eedbr: energy-efficient depth-based routing protocol for underwater wireless sensor networks. In Advanced Computer Science and Information Technology, pp 223–234. Springer, Berlin

    Google Scholar 

  • Han G, Jiang J, Bao N, Wan L, Guizani M (2015) Routing protocols for underwater wireless sensor networks. IEEE Commun Mag 53(11):72–78

    Article  Google Scholar 

  • Darehshoorzadeh A, Boukerche A (2015) Underwater sensor networks: a new challenge for opportunistic routing protocols. IEEE Commun Mag 53(11):98–107

    Article  Google Scholar 

  • Ayaz M, Abdullah A (2009) Hop-by-hop dynamic addressing based (H2-DAB) routing protocol for underwater wireless sensor networks. In Information and Multimedia Technology, 2009. ICIMT’09. International Conference on IEEE, pp 436–441

  • Gopi S, Govindan K, Chander D, Desai UB, Merchant SN (2010) E-PULRP: energy optimized path unaware layered routing protocol for underwater sensor networks. IEEE Trans Wireless Commun 9(11):3391–3401

    Article  Google Scholar 

  • Chen J, Wu X, Chen G (2008) REBAR: a reliable and energy balanced routing algorithm for UWSNs. In Grid and Cooperative Computing, 2008. GCC’08. Seventh International Conference on IEEE, pp 349–355

  • Ali T, Jung LT, Ameer S (2012) Flooding control by using angle based cone for UWSNs. In Telecommunication Technologies (ISTT), 2012 International Symposium on IEEE, pp 112–117

  • Sher A, Javaid N, Azam I, Ahmad H, Abdul W, Ghouzali S, Niaz IA, Khan FA (2017) Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks. Int J Distrib Sensor Netw 13(7):1550147717717189

    Article  Google Scholar 

  • Domingo MC (2011) A distributed energy-aware routing protocol for underwater wireless sensor networks. Wireless Personal Commun 57(4):607–627

    Article  Google Scholar 

  • Wang P, Li C, Zheng J (2007) Distributed minimum-cost clustering protocol for underwater sensor networks (UWSNs). In Communications, 2007. ICC’07. IEEE International Conference on IEEE, pp 3510–3515

  • Anupama, K.R., Sasidharan, A. and Vadlamani, S., 2008, August. A location-based clustering algorithm for data gathering in 3D underwater wireless sensor networks. In Telecommunications, 2008. IST 2008. International Symposium on IEEE, pp 343–348

  • Wang C, Liu G (2011) LUM-HEED: a location unaware, multi-hop routing protocol for underwater acoustic sensor networks. In Computer Science and Network Technology (ICCSNT), 2011 International Conference on IEEE 4:2336–2340

  • Liu G, Wei C (2011) A new multi-path routing protocol based on cluster for underwater acoustic sensor networks. In Multimedia Technology (ICMT), 2011 International Conference on IEEE, pp 91–94

  • Umar A, Javaid N, Ahmad A, Khan ZA, Qasim U, Alrajeh N, Hayat A (2015) DEADS: depth and Energy Aware Dominating Set Based Algorithm for Cooperative Routing along with Sink Mobility in Underwater WSNs. Sensors 5(6):14458–14486

    Article  Google Scholar 

  • Zhou Z, Peng Z, Cui JH, Shi Z (2011) Efficient multipath communication for time-critical applications in underwater acoustic sensor networks. IEEE/ACM Trans Netw 19(1):28–41

    Article  Google Scholar 

  • Javaid N, Jafri MR, Khan ZA, Qasim U, Alghamdi TA, Ali M (2014) Iamctd: improved adaptive mobility of courier nodes in threshold-optimized dbr protocol for underwater wireless sensor networks. International Journal of Distributed Sensor Networks

  • Hwang D, Kim D (2008) DFR: directional flooding-based routing protocol for underwater sensor networks. In OCEANS 2008 pp 1–7

  • Xie P, Cui JH, Lao L (2006) VBF: vector-based forwarding protocol for underwater sensor networks. In International Conference on Research in Networking, pp 1216–1221. Springer, Berlin

    Chapter  Google Scholar 

  • Nicolaou N, See A, Xie P, Cui JH, Maggiorini D (2007) Improving the robustness of location-based routing for underwater sensor networks. In OCEANS 2007-Europe, pp 1–6

  • Yu H, Yao N, Liu J (2015) An adaptive routing protocol in underwater sparse acoustic sensor networks. Ad Hoc Networks 34:121–143

    Article  Google Scholar 

  • Kleerekoper A, Filer N (2012) Revisiting blacklisting and justifying the unit disk graph model for energy-efficient position-based routing in wireless sensor networks.’ In Wireless Days (WD), 2012 IFIP, pp 1–3

  • Chang X, Yu YL, Yang Y, Xing EP (2017) Semantic pooling for complex event analysis in untrimmed videos. IEEE transactions on pattern analysis and machine intelligence 39(8):1617–1632

    Article  Google Scholar 

  • Chang X, Ma Z, Lin M, Yang Y, Hauptmann AG (2017) Feature interaction augmented sparse learning for fast kinect motion detection. IEEE Trans Image Process 26(8):3911–3920

    Article  MathSciNet  Google Scholar 

  • Chang X, Ma Z, Yang Y, Zeng Z, Hauptmann AG (2017) Bi-level semantic representation analysis for multimedia event detection. IEEE Trans Cybern 47(5):1180–1197

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Nadeem Javaid, Zaheer Ahmad & Arshad Sher

  2. University of Engineering and Technology Peshawar, Peshawar, 25000, Pakistan

    Zahid Wadud

  3. CIS, Higher Colleges of Technology, Fujairah, 4114, United Arab Emirates

    Zahoor Ali Khan

  4. University of Central Florida, Orlando, FL, 32816, USA

    Syed Hassan Ahmed

Authors
  1. Nadeem Javaid
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zaheer Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arshad Sher
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zahid Wadud
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zahoor Ali Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Syed Hassan Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nadeem Javaid.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Javaid, N., Ahmad, Z., Sher, A. et al. Fair energy management with void hole avoidance in intelligent heterogeneous underwater WSNs. J Ambient Intell Human Comput 10, 4225–4241 (2019). https://doi.org/10.1007/s12652-018-0765-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-018-0765-8

Keywords

Search

Navigation