IMPROVING NETWORK LIFETIME BY MINIMIZING ENERGY HOLE PROBLEM IN WSN FOR THE APPLICATION OF IoT

Trupti M. Behera, Sushanta K. Mohapatra

DOI Number
10.2298/FUEE1802267B
First page
267
Last page
277

Abstract


The world today is at the Internet of Things (IoT) inflection point with more number of products adding to its intelligence system through a wide range of connectivity. Wireless sensor Networks (WSN) have been very useful in IoT application for gathering and processing of data to the end user. However, limited battery power and network lifetime are few of the major challenges in the designing process of any sensor network. One of those  is the Energy Hole Problem (EHP) that arises when the nodes nearer to the sink or base station die out early due to excess load as compared to other nodes that are far away. This breaks the connection of the network from the sink which results in shortening the lifetime of the network. In this paper, a trade-off is maintained between network lifetime and power requirement by implementing a sleep-awake mechanism.With the help of MATLAB simulations, it is found that after applying the mechanism, the network lifetime was extended to almost 300 and 700 rounds for TEEN and LEACH protocol respectively. The results will be beneficial for the design process in WSN for IoT application.

Keywords

IoT, WSN, Energy Hole Problem, Power consumption, Network lifetime.

Full Text:

PDF

References


J. Chase, “The evolution of the internet of things,” Texas Instruments, 2013.

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Futur. Gener. Comput. Syst., vol. 29, no. 7, pp. 1645–1660, 2013.

P. Bellavista, G. Cardone, A. Corradi, and L. Foschini, “Convergence of MANET and WSN in IoT urban scenarios,” IEEE Sens. J., vol. 13, no. 10, pp. 3558–3567, 2013.

M. T. Lazarescu, “Design of a WSN platform for long-term environmental monitoring for IoT applications,” IEEE J. Emerg. Sel. Top. Circuits Syst., vol. 3, no. 1, pp. 45–54, 2013.

J. Jia, X. Wu, J. Chen, and X. Wang, “Exploiting sensor redistribution for eliminating the energy hole problem in mobile sensor networks,” EURASIP J. Wirel. Commun. Netw., vol. 2012, no. 1, p. 68, 2012.

M. B. Rasheedl, N. Javaid, A. Javaid, M. A. Khan, S. H. Bouk, and Z. A. Khan, “Improving Network Efficiency by Removing Energy Holes in WSNs,” arXiv Prepr. arXiv1303.5365, 2013.

T. M. Behera and S. S. Singh, “A Novel Energy Efficient Network Management Scheme of Heterogeneous WSN with MIMO Techniques,” Int. J. Comput. Appl., vol. 93, no. 7, 2014.

J. Li and P. Mohapatra, “Analytical modeling and mitigation techniques for the energy hole problem in sensor networks,” Pervasive Mob. Comput., vol. 3, no. 3, pp. 233–254, 2007.

X. Tang and J. Xu, “Optimizing lifetime for continuous data aggregation with precision guarantees in wireless sensor networks,” IEEE/ACM Trans. Netw., vol. 16, no. 4, pp. 904–917, 2008.

X. Wu, G. Chen, and S. K. Das, “On the energy hole problem of nonuniform node distribution in wireless sensor networks,” in Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2006, pp. 180–187.

M. Ahadi and A. M. Bidgoli, “A multiple-sink model for decreasing the energy hole problem in large-scale wireless sensor networks,” Int. J. Comput. Theory Eng., vol. 4, no. 5, p. 843, 2012.

A.-F. Liu, X.-Y. Wu, Z.-G. Chen, and W.-H. Gui, “Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks,” Comput. Commun., vol. 33, no. 3, pp. 302–321, 2010.

N. Sharmin, M. S. Alam, and S. S. Moni, “WEMER: An energy hole mitigation scheme in Wireless Sensor Networks,” in Proceedings of the 2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016, pp. 229–232.

X. Wu, G. Chen, and S. K. Das, “Avoiding energy holes in wireless sensor networks with nonuniform node distribution,” IEEE Trans. parallel Distrib. Syst., vol. 19, no. 5, pp. 710–720, 2008.

M. B. Rasheed, N. Javaid, Z. A. Khan, U. Qasim, and M. Ishfaq, “E-HORM: An energy-efficient hole removing mechanism in Wireless Sensor Networks,” in Proceedings of the 26th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013, pp. 1–4.

J. Li and P. Mohapatra, “An analytical model for the energy hole problem in many-to-one sensor networks,” in Proceedings of the IEEE vehicular technology conference, 2005, vol. 62, no. 4, p. 2721.

S. K. Singh, P. Kumar, and J. P. Singh, “A Survey on Successors of LEACH Protocol,” IEEE Access, vol. 5, pp. 4298–4328, 2017.

L. Yadav and C. Sunitha, “Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network (LEACH),” Int. J. Comput. Sci. Inf. Technol., vol. 5, no. 3, pp. 4661–4664, 2014.

L. Qing, Q. Zhu, and M. Wang, “Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks,” Comput. Commun., vol. 29, no. 12, pp. 2230–2237, 2006.

A. Manjeshwar and D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks.,” in ipdps, 2001, vol. 1, p. 189.


Refbacks

  • There are currently no refbacks.


ISSN: 0353-3670