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Minimising the impact of IPv6 neighbour discovery messages on energy consumption in small objects networks

Minimising the impact of IPv6 neighbour discovery messages on energy consumption in small objects networks

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Nowadays, it is important to evaluate the use of IPv6 wireless networks. Indeed, the implementation of IPv6 mechanisms and features must be examined. IPv6 requires many objects exchanges like IPv6 routing information which could be communicated by different messages multicast. These messages are too frequent; they could impact energy consumption related to battery-powered objects. Therefore, the energy consumption is nowadays, one of the most important issues in small object networks with IPv6. Thus, the aim of this study is to suggest a new algorithm called minimising energy consumption under connectivity constraint. The performance evaluation is based on several parameters that would help in maintaining connectivity between the mobile objects and their default router. The results showed that energy consumption could be minimised by optimising IPv6 multicast messages. Overall, this method results a significant effectiveness and might be used as a future wireless networks improvements.

References

    1. 1)
      • 1. Neagoe, D., Pateas, A.: ‘Efficient IPv6 neighbor discovery in wireless environment’. Series of Master's theses, Department of Electrical and Information Technology, 20 November 2016.
    2. 2)
      • 2. Droms, R.: ‘IPv6 MULTICAST ADDRESS SCOPES’, Internet Engineering Task Force (IETF), RFC 7346, August 2014.
    3. 3)
      • 3. Gont, F.: ‘Implementation advice for IPv6 router advertisement guard (RA-guard)’, Internet Engineering Task Force (IETF), RFC 7113, February 2014.
    4. 4)
      • 4. Kumar, R., Singh, G., Gaba, G.S.: ‘An effective approach for minimizing energy consumption in WSN’, Indian J. Sci. Technol., 2016, 9, (21), doi: 10.17485/ijst/2016/v9i21/86612.
    5. 5)
      • 5. Ouni, S., Ayoub, Z.: ‘Cooperative association/re-association approaches to optimize energy consumption for real-time IEEE 802.15.4/ZigBee wireless sensor networks’, Wirel. Pers. Commun., 2013, 71, pp. 31573183.
    6. 6)
      • 6. Sabitha, R., Bhuma, K., Thyagarajan, T.: ‘Design and analysis of fuzzy logic and neural network based transmission power control techniques for energy efficient wireless sensor networks’. Proc. 3rd Int. Conf. Frontiers of Intelligent Computing: Theory and Applications (FICTA), Bhubaneswar, India, 2014, pp. 295303.
    7. 7)
      • 7. Zhang, Y., Yang, T., Chen, J.: ‘RFID and sensor networks’ (AUERBACH Pub, CRC Press, USA, 2010), ch. 2..
    8. 8)
      • 8. Otal, B., Alonso, L., Verikoukis, C.: ‘Energy-Efficiency analysis of a distributed queuing medium access control protocol for biomedical wireless sensor networks in saturation conditions’, Sensors, 2011, 11, pp. 12771296.
    9. 9)
      • 9. Deshmukh, N., Deorankar, A.: ‘Reduced energy consumption using MEMAC protocol in WSN’, Int. J. Sci. Eng. Appl. Sci., 2016, 2, (4), pp. 6468.
    10. 10)
      • 10. Buzzi, S., Chih-Lin, I., Thierry, E., et al: ‘A survey of energy-efficient techniques for 5G networks and challenges ahead’, 4 April 2016.
    11. 11)
      • 11. Kaur, S., Kaur, M.: ‘Improvement in MAODV protocol using location based routing protocol’. Int. Conf. Advancements in Engineering & Technology (ICAET-2016), South Korea, 2016.
    12. 12)
      • 12. Latha, P., Ramachandran, R.: ‘Energy reduction aware multicast routing for mobile ad hoc networks’, Indian J. Sci. Technol., 2010, 3, (3).
    13. 13)
      • 13. Kumar, K., Goel, S.: ‘Literature review to optimize the energy consumption in wireless sensor network’, Int. J. Comput. Sci. Mob. Comput., 2017, 6, (7), pp. 106113.
    14. 14)
      • 14. Rodriguez, A., Ordóñez, A., Ordoñez, H.: ‘Energy consumption optimization for sensor networks in the IoT’. 2015 IEEE Colombian Conf. Communications and Computing (COLCOM), Colombia, 13–15 May 2015.
    15. 15)
      • 15. Abo-Zahhad, M., Farrag, M., Ali, A.: ‘Modeling and minimization of energy consumption in wireless sensor networks’. 2015 IEEE Int. Conf. Electronics, Circuits, and Systems (ICECS), Cairo, Egypt, 6–9 December 2015.
    16. 16)
      • 16. Ali, A., Abo-Zahhad, M., Farrag, M.: ‘Modeling of wireless sensor networks with minimum energy consumption’, Arab. J. Sci. Eng., 2017, 42, (7), pp. 26312639.
    17. 17)
      • 17. Gomez, C., Kovatsch, M., Zurich, E.T.H., et al: ‘Energy-Efficient features of internet of things protocols’, draft ietf, 25 February 2016.
    18. 18)
      • 18. Buenaventura, F.J., Gonzales, J.P., Lu, M.E., et al: ‘IPv6 stateless address autoconfiguration (SLAAC) attacks and detection’, 2 March 2015.
    19. 19)
      • 19. Asati, R., Singh, H., Beebee, W., et al: ‘Enhanced duplicate address detection’, RFC7527, April 2015.
    20. 20)
      • 20. Jankiewicz, E., Loughney, J., Narten, T.: ‘IPv6 node rudiments’, December 2011.
    21. 21)
      • 21. Wieselthier, J.E., Nguyen, G.D.: ‘Algorithms for energy-efficient multicasting in static ad hoc wireless networks’, Mobile Netw. Appl., 2001, 6, pp. 251263.
    22. 22)
      • 22. Narten, T., Nordmark, E., Simpson, W., et al: ‘Neighbor discovery for IP version 6 (IPv6)’, RFC4861, IETF Network Working Group, September 2007.
    23. 23)
      • 23. Meijerink, B.J.: ‘IPv6 neighbor discovery protocol and its effects on flow monitoring equipment’, 2012.
    24. 24)
      • 24. Johnson, D., Perkins, C., Arkko, J.: ‘Mobility support in IPv6’, RFC 6275, July 2011.
    25. 25)
      • 25. Bhargavi, K., Mathiyalagan, P., Aditya, V.: ‘Wireless network connectivity measure’. Technical report, IDE1148, December 2011.
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