IPv6 has many advantages such as the massive amount of addresses, high security, and high robustness, which are beneficial for wireless sensor networks (WSNs). However, it is almost impossible to use IPv6 directly in WSN due to its huge energy consumption. This paper proposes a double adaptively clustering hierarchy (DACH) algorithm which enables using IPv6 in WSN in an efficient and reliable way. Firstly, we present a clustering method to adaptively divide the whole sensor network into clusters according to its energy consumption in the last round. Then we propose an adaptive cluster head selection algorithm which employs a strategy to choose the most suitable cluster heads; meantime, this selection algorithm is integrated into DACH. Finally, the complete framework is built between headers and their slave nodes based on IEEE 802.15.4, and IPv6 is used to connect the headers and the base stations. Experimental and simulation results demonstrate that the DACH algorithm has lower time and energy consumption. Moreover, it is more reliable and applicable than many other IP-based WSN algorithms. 1. Introduction One of the most important techniques of this decade is wireless sensor networks (WSNs). In the last twenty years, interpersonal communication has become very popular with the booming internet technology. Similarly, with the development of？？WSNs [1], the same phenomenon will occur, and people will benefit a lot from this new information exchange technology. When WSN is as widely used as the internet, people can turn on their air conditioners at home when they are still on their way; the information of snow depth of every valley of Alps can be measured and collected by sensors and sent to people for making decisions about holiday skiing; any equipment of a city can send an alarm to the fire station automatically when the temperature is beyond the normal range, and so forth. Without access to the internet, WSN is just a usual local network with its limited power. However, when IPv6 joins, WSN becomes magic and powerful, for IPv6 has a lot of advantages, such as massive addresses, high security, and good QoS service [2]. Since TCP/IP is limited with factors like too much energy cost and low battery frequent data transmission at the sensor nodes, IPv6-based WSN is more favorite for the researchers. However, for WSN, header overhead problem in IPv6 is more serious than that in IPv4. Usually, the monitoring signal, control signal, and measured data of a sensor is no more than 10 bytes [3]. If IPv6 is introduced directly, the header overhead will consume more
References
[1]
M. B. Krishna and M. N. Doha, “Self-organized energy conscious clustering protocol for wireless sensor networks,” in Proceedings of the 14th International Conference on Advanced Communication Technology (ICACT '12), pp. 521–526, March 2012.
[2]
L. D. Paulson, “Will wireless be IPv6's killer app?” Computer, vol. 34, no. 1, pp. 28–29, 2001.
[3]
E. Lee, S. Park, F. Yu, and S. H. Kim, “Data gathering mechanism with local sink in geographic routing for wireless sensor networks,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1433–1441, 2010.
[4]
W. Xiaonan and G. Demin, “An IPv6 address configuration scheme for All-IP wireless sensor networks,” Ad-Hoc and Sensor Wireless Networks, vol. 12, no. 3-4, pp. 209–227, 2011.
[5]
A. Dunkels, J. Alonso, and T. Voigt, “Making TCP/IP viable for wireless sensor networks,” in Proceedings of the 1st European Workshop on Wireless Sensor Networks, pp. 1–9, November 2003.
[6]
P. A. C. S. Neves, A. Esteves, R. Cunha, and J. J. P. C. Rodrigues, “User-centric data gathering multi-channel system for IPv6-enabled wireless sensor networks,” International Journal of Sensor Networks, vol. 9, no. 1, pp. 13–23, 2011.
[7]
W. Xiaonan and Q. Huayan, “An IPv6 address configuration scheme for wireless sensor networks,” Computer Standards and Interfaces, vol. 34, no. 3, pp. 334–341, 2012.
[8]
Y. A. Liu, L. Ye, Q. M. Shao, and B. H. Tang, “Integrating wireless sensor networks with the TCP/IP networks,” Journal of Beijing University of Posts and Telecommunications, vol. 29, no. 6, pp. 1–5, 2006.
[9]
H. Khaleel, F. Penna, C. Pastrone, and R. Tomasi, “Frequency agile wireless sensor networks: design and implementation,” IEEE Sensors Journal, vol. 12, no. 5, pp. 1599–1608, 2012.
[10]
J. Aweya, M. Ouellette, D. Y. Montuno, and K. Felske, “Circuit emulation services over Ethernet—part 1: clock synchronization using timestamps,” International Journal of Network Management, vol. 14, no. 1, pp. 29–44, 2004.
[11]
J. Wan and Q. Liu, “Efficient data association in visual sensor networks with missing detection,” Eurasip Journal on Advances in Signal Processing, vol. 2011, Article ID 176026, 2011.
[12]
L. Xiaojuan, Y. Huiqun, and W. Xiang, “Energy-aware topology evolution model with link and node deletion in wireless sensor networks,” Mathematical Problems in Engineering, vol. 2012, Article ID 281465, pp. 1–14, 2012.
[13]
M. Youssef, A. Youssef, and M. Younis, “Overlapping multihop clustering for wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 12, pp. 1844–1856, 2009.
[14]
Z. Quan, A. Subramanian, and A. H. Sayed, “REACA: an efficient protocol architecture for large scale sensor networks,” IEEE Transactions on Wireless Communications, vol. 6, no. 8, pp. 2924–2933, 2007.
[15]
W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in Proceedings of the 33rd Annual Hawaii International Conference on System Siences (HICSS '00), p. 223, January 2000.
[16]
A. Nayebi and H. Sarbazi-Azad, “Performance modeling of the LEACH protocol for mobile wireless sensor networks,” Journal of Parallel and Distributed Computing, vol. 71, no. 6, pp. 812–821, 2011.
[17]
J. Jinbao and Z. Lijun, “An advanced LEACH protocol for wireless sensor networks,” in Proceedings of the International Conference on Modeling, Simulation and Optimizaion, pp. 346–349, December 2009.
[18]
X. Gao, Y. Yang, and D. Zhou, “Coverage of communication-based sensor nodes deployed location and energy efficient clustering algorithm in WSN,” Journal of Systems Engineering and Electronics, vol. 21, no. 4, pp. 698–704, 2010.
[19]
S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin, and A. O. Fapojuwo, “A centralized energy-efficient routing protocol for wireless sensor networks,” IEEE Communications Magazine, vol. 43, no. 3, pp. S8–S13, 2005.
[20]
A. Manjeshwar and D. Agrawal, “TEEN: a routing protocol for enhance efficiency in wireless sensor networks,” in Proceedings of 15th International Parallel and Distributed Processing, pp. 26–35, August 2001.
[21]
G. Ragdakis, I. Matta, and A. Bestavros, “SEP: a stable election protocol for clustered heterogeneous wireless sensor network,” in Proceedings of The 1st International Workshop on SANPA, pp. 107–115, March 2004.
[22]
A. Papadopoulos, A. Navarra, J. A. McCann, and C. M. Pinotti, “VIBE: an energy efficient routing protocol for dense and mobile sensor networks,” Journal of Network and Computer Applications, vol. 35, no. 4, pp. 1177–1190, 2012.
[23]
Asaduzzaman and H. Y. Kong, “Energy efficient cooperative LEACH protocol for wireless sensor networks,” Journal of Communications and Networks, vol. 12, no. 4, pp. 358–365, 2010.
[24]
M. Horauer, K. Schossmaier, U. Schmid, and R. holler, “PSynUTC-evaluation of a high-precision time synchronization prototype system for Ethernet LANs,” in Proceedings of the 34th IEEE Precise Time and Time Interval Systems and Application Meeting, pp. 263–277, December 2002.
[25]
A. S. Hu and S. D. Servetto, “On the scalability of cooperative time synchronization in pulse-connected networks,” IEEE Transactions on Information Theory, vol. 52, no. 6, pp. 2725–2748, 2006.
[26]
T. Guodong, Z. Kougen, and Y. Ge, “A mobile-beacon-assisted sensor network localization based on RSS and connectivity observations,” International Journal of Distributed Sensor Networks, vol. 2011, Article ID 487209, 14 pages, 2011.
[27]
X. Junwei, Z. Baohua, and Q. Yugui, “Research on IPv6 routing algorithm in WSN,” Journal of University of Science and Technology of China, vol. 37, no. 2, pp. 1534–1538, 2007.
[28]
H. Jiang, S. Jin, and C. Wang, “Framework for clustering-based data collection in wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 6, pp. 1064–1071, 2011.
