Advertisement

Energy Efficient Area Coverage Mechanisms for Mobile Ad Hoc Networks

  • Sanjoy DasEmail author
  • Subrata Sahana
  • Indrani Das
Article
  • 8 Downloads

Abstract

Mobile ad hoc networks does not have fixed infrastructure and nodes are dynamically formed different network topologies. These nodes are establishing communication through wireless links. The energy is a vital parameter for this network, as battery life decides the overall working of the network. Failure of one node not only affects itself but also the performance of the entire network. Since all the nodes are battery power therefore energy depletion is one of the major issues to the lifetime of the network. In this paper we propose a back up node for area coverage of the Ad hoc network that enhanced the proper use of energy by reducing the communication with the help of triangulation technique. Therefore, the use of battery power will be minimized which results in increasing the lifetime and better connectivity of the network.

Keywords

MANET K-Coverage Triangulation Ad Hoc Coverage Backup node 

Notes

References

  1. 1.
    Chiasserini, C. F., & Rao, R. R. (2000). Routing protocols to maximize battery efficiency. In The proceedings of 21st IEEE military communication conference, Los Angeles, CA, USA (pp. 496–500).Google Scholar
  2. 2.
    Rodoplu, V., & Meng, T. H. (1998). Minimum energy mobile wireless network. In IEEE international conference on communications, Atlanta, GA, USA.Google Scholar
  3. 3.
    Jones, C. E., Sivalingam, K. M., Agrawal, P., & Chen, J. C. (2001). Survey of energy efficient network protocols for wireless networks. Wireless Networks, 7(4), 343–358.CrossRefzbMATHGoogle Scholar
  4. 4.
    Cano, J. C., & Manzoni, P. (2000). A performance comparison of energy consumption for Mobile Ad Hoc Network routing protocols. In The proceedings of IEEE modeling, analysis and simulation of computer and telecommunication systems, San Francisco, CA, USA (pp. 57–64).Google Scholar
  5. 5.
    Feeney, L. (2001). An energy consumption model for performance analysis of routing protocols for mobile ad hoc networks. Journal of Mobile Networks and Applications, Springer, 6(3), 239–249.CrossRefzbMATHGoogle Scholar
  6. 6.
    Xu, Y., Heidemann, J., & Estrin, D. (2000). Adaptive energy-conserving routing for multihop ad hoc networks. Technical Report 527. USC/Information Sciences Institute.Google Scholar
  7. 7.
    Singh, S., Woo, M., & Raghavendra, C. S. (1998). Power-aware routing in mobile ad hoc networks. In The proceedings of the 4th annual ACM/IEEE international conference on mobile computing and networking (MobiCom98), Dallas, Texas, USA (pp. 181–190).Google Scholar
  8. 8.
    Subbarao, M. W. (1999). Dynamic power conscious routing for MANETs: An initial approach. In The proceedings of the IEEE VTS 50th international conference on vehicular technology, Amsterdam, The Netherlands.Google Scholar
  9. 9.
    Yuan, X., & Li, B. (2001). A location-aided power-aware routingprotocol in mobile ad hoc networks. In The proceedings of IEEE conference on global telecommunications, San Antonio, TX, USA (pp. 2837–2841).Google Scholar
  10. 10.
    Agarwal, S., Ahuja, A., Singh, J. P., & Shorey, R. (2000). Route-lifetime assessment based routing (RABR) protocol for mobile ad-hoc networks. In The proceedings of IEEE international conference on communications, New Orleans, LA, USA (pp. 1697–1701).Google Scholar
  11. 11.
    Tragoudas, S., & Dimitrova, S. (2000). Routing with energy considerations in mobile ad-hoc networks. In The proceedings of IEEE wireless communications and networking conference, Chicago, IL, USA (pp. 1258–1261).Google Scholar
  12. 12.
    Woo, K., Yu, C., Lee, D., Youn, H. Y., & Lee, B. (2001). Non-blocking, localized routing algorithm for balanced energy consumption in mobile ad hoc networks. In The proceedings ninth international symposium on modeling, analysis and simulation of computer and telecommunication systems, Cincinnati, OH, USA (pp. 117–124).Google Scholar
  13. 13.
    Ramanathan, R., & Rosales-Hain, R. (2000). Topology control of multihop wireless networks using transmit power adjustment. In The Proceedings of nineteenth IEEE annual joint conference of the IEEE computer and communications societies. Proceedings INFOCOM 2000, Tel Aviv, Israel.Google Scholar
  14. 14.
    ElBatt, T. A., Krishnamurthy, S. V., Connors, D., & Dao, S. (2000). Power management for throughput enhancement in wireless ad-hoc networks. In The proceedings of IEEE international conference on communications, New Orleans, LA.Google Scholar
  15. 15.
    Ryu, J.-H., & Cho, D.-H. (2000). A new routing scheme concerning power-saving in mobile ad-hoc networks. In The proceedings of IEEE international conference on communications, New Orleans, LA, USA (pp. 1719–1722).Google Scholar
  16. 16.
    Toh, C. K. (2001). Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Communications Magazine, 39(6), 138–147.CrossRefGoogle Scholar
  17. 17.
    Tsudaka, K., Kawahara, M., Matsumoto, A., & Okada, H. (2001). Power control routing for multi hop wireless ad-hoc network. In The proceedings of IEEE conference on global telecommunications, San Antonio, TX, USA (pp. 2819–2824).Google Scholar
  18. 18.
    Banerjee, S., & Misra, A. (2002). Minimum energy paths for reliable communication in multi-hop wireless networks. In The proceedings of the third ACM international symposium on mobile ad hoc networking and computing (MobiHoc’02) (pp. 146–156).Google Scholar
  19. 19.
    Li, Q., Aslam, J., & Rus, D. (2001). Online power-aware routing in wireless ad hoc networks. In The proceedings of the 7th annual international conference on mobile computing and networking (MobiCom2001), Rome, Italy (pp. 97–107).Google Scholar
  20. 20.
    Li, X.-Y., & Wan, P.-J. (2001). Constructing minimum energy mobile wireless networks. ACM SIGMOBILE Mobile Computing and Communications Review, 5(4), 55–67.CrossRefGoogle Scholar
  21. 21.
    Gomez, J., Campbell, A. T., Naghshineh, M., & Bisdikian, C. (2001). Conserving transmission power in wireless ad hoc network. In The proceedings ninth international conference on network protocols, ICNP2001, Riverside, CA, USA (pp. 24–34).Google Scholar
  22. 22.
    Chang, J. H., & Tassiulas, L. (2000). Energy conserving routing in wireless ad-hoc networks. In The proceedings of nineteenth IEEE annual joint conference of the IEEE computer and communications societies. Proceedings INFOCOM 2000, Tel Aviv, Israel.Google Scholar
  23. 23.
    Badia, L., & Zorzi, M. (2002). On the construction of broadcast and multicasttrees in wireless networks-global vs. local energy efficiency. In Proceedings IEEE global telecommunications (GLOBECOM2002), Taiwan (pp. 122–127).Google Scholar
  24. 24.
    Kang, I., & Poovendran, R. (2002). On the lifetime extension of energy-efficient multi-hop broadcast networks. In The proceedings of the international joint conference on neural networks (IJCNN’02), Honolulu, HI, USA (pp. 365–370).Google Scholar
  25. 25.
    Michail, A., & Ephremides, A. (2000). Energy-efficient routing for connection-oriented traffic in ad-hoc wireless networks. In The proceedings of 11th IEEE international symposium on personal, indoor and mobile radio communications, London (Vol. 2, pp. 762–766).Google Scholar
  26. 26.
    Marco, F., & De Rango, F. (2011). Energy issues and energy aware routing in wireless ad hoc networks. In X. Wang (Ed.), Mobile ad-hoc networks: protocol design. InTech. ISBN: 978-953-307-402-3 http://www.intechopen.com/books/mobile-ad-hoc-networks-protocol-design/energy-issues-ndenergy-aware-routing-in-wireless-ad-hoc-networks. Accessed June 2017
  27. 27.
    Khan, M. A., et al. (2014). An energy efficient simultaneous-node repositioning algorithm for mobile sensor networks. The Scientific World Journal, 2014, 1–14.  https://doi.org/10.1155/2014/785305.Google Scholar
  28. 28.
    Zhou, Z., Das, S., & Gupta, H. (2004). Connected K-coverage problem in sensor networks. In The proceedings of 13th international conference on computer communications and networks, ICCCN 2004 (pp. 373–378).Google Scholar
  29. 29.
  30. 30.
    The Delaunay_triangulation. https://en.wikipedia.org/wiki/Delaunay_triangulation. Last accessed on June 15, 2017.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceIGNTU, Manipur CampusAmarkantakIndia
  2. 2.Department of Computer ScienceGalgotias UniversityGreater NoidaIndia
  3. 3.Department of Computer ScienceAssam UniversitySilcharIndia

Personalised recommendations