Volume 7, Issue 1, June 2019, Page: 19-26
A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks
Kamaldeen Ayodele Raji, Department of Computer Science, Kwara State Polytechnic, Ilorin, Nigeria
Kazeem Alagbe Gbolagade, Department of Computer Science, Kwara State University, Malete, Nigeria
Received: Jan. 26, 2019;       Accepted: Mar. 30, 2019;       Published: Apr. 18, 2019
DOI: 10.11648/j.wcmc.20190701.13      View  43      Downloads  11
Abstract
Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the most obliging element on the functionality of such systems as they are controlled with constrained vitality and replacement of vitality resources might be difficult. While sending the data in sensor network, there might be loss of information or miscalculation could occur in receiving data during transferring. The correctness of information has incredible impact on the performance of the network. To enhance the exactness of sensor information, minimizing vitality utilization and adaptation to internal failure is vital for some WSN’s applications as they operate in unpredictable conditions and ought to stay operational regardless of whether a network failure happen. This paper surveys the available energy efficient, reliability and fault tolerant in WSNs. It focuses on Residue Number System (RNS) and Agent technologies for energy-efficient and fault tolerant in WSNs respectively. However, performance evaluation was also conducted based on the energy consumption, reliability, delay in receiving the sent data and efficiency.
Keywords
Wireless Sensor Networks, Fault Tolerant, Multi-agent, Redundant Residue Number System, Power Efficiency
To cite this article
Kamaldeen Ayodele Raji, Kazeem Alagbe Gbolagade, A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks, International Journal of Wireless Communications and Mobile Computing. Vol. 7, No. 1, 2019, pp. 19-26. doi: 10.11648/j.wcmc.20190701.13
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
R. Logapriya and J. Preethi, Efficient Methods in wireless sensor network for error detection, correction and recovery of data. International Journal of Novel Research in Computer Science and Software Engineering. Vol 3 Issue 2, pp: (47-54), May -August 2016. Available at:www.noveltyjounals.com.
[2]
O. Dagdeviren, I. Korkmaz, F. Tekbacak and K. Erciyes, A Survey of Agent Technologies for Wireless Sensor Networks. IETE Technical Review, Vol. 27, 2010, pp1-17.
[3]
H. Lee, S. D. Min, M. Choi and D. Lee, Multi-Agent System for Fault Tolerance in Wireless Sensor Networks, KSII transactions on internet and information systems, 2016, vol. 10, No. 3, pp. 1321-1332.
[4]
V. Jindal, History and architecture of Wireless sensor networks for ubiquitous computing. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2018, Vol. 7 No. 2, pp. 214-217.
[5]
A. Sharma and S. Sharma, A Comparative Review on Reliability and Fault Tolerance Enhancement Protocols in Wireless Sensor Networks. International Research Journal of Engineering and Technology (IRJET), 2016, e-ISSN: 2395-0056 Volume: 03 Issue: 01, Pp 622- 626.
[6]
Cheikhouhou M., Conti P., Labetoulle J., and Marcus K. Intelligent Agents for Network Management: Fault Detection Experimen.. 2007, Corporate Communication department Institut eurecom: France.
[7]
L. L. Yang & L. Hanzo. Redundant residue number system based error correction codes. Vehicular Technology Conference, IEEE VTS 2001, Vol. 5, No. 3, pp. 1472-1476.
[8]
D. Younes. Residue number system based building blocks for applications in digital signal processing. Ph.D dissertation, Brno University of Technology, Faculty of Electrical Engineering and Communication, Department of Microelectronics, 2013.
[9]
A. Omondi and B. Premkumar. Residue Number System: Theory and Implementation. Imperial College Press, London, 2007
[10]
E. Saurabh and R. R Aggarwal, A Review of Fault Detection Techniques for Wireless Sensor Networks. International Journal of Computer Science Issues, Vol. 10, Issue 4, No 1, July 2013.
[11]
L. Sitanayah, Planning the deployment of fault-tolerant wireless sensor networks. 2013, PhD Thesis, University College Cork.
[12]
M. Roshanzadeh and S. Saqaeeyan, Error detection and correction in wireless sensor networks by residue number systems. International Journal of Computer Network and Information Security, 2012, Vol. 2, pp. 29-35.
[13]
G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, How to Prolong the Lifetime of Wireless Sensor Network. Handbook of Mobile Ad Hoc and Pervasive Communications. Chapter 6 in Mobile Ad Hoc and Pervasive Communications, (M. Denko and L. Yang, Editors), American Scientific Publishers, 2007.
[14]
E. Fasolo et al, In-network Aggregation Techniques for Wireless Sensor Networks: A Survey. IEEE wireless communications, Vol. 14, No. 2, 2007, pp 70-87.
[15]
A. Barati, A. Movaghar and M. Sabaei, Energy Efficient and High Speed Error Control Scheme for Real Time Wireless Sensor Networks. International Journal of Distributed Sensor Networks, Volume 2014.
[16]
B. Rachid and H. Hafid, Distributed Monitoring for wireless sensor Network: Multi-agent Approach. International Journal of Computer Network and Information Security, 2014, Vol. 10, Pp 13-23.
[17]
A. Akbulut, P. Cihangir, A. H Zaim and G. Yilmaz, Energy and Distance Factor Based Routing Protocol for Wireless Sensor Networks Using Mobile Agents. IEEE 2011.
[18]
R. A. Hamamreh, M. M. Haji and A. A. Qutob, An Energy-Efficient Clustering Routing Protocol for WSN based on MRHC. International Journal of Digital Information and Wireless Communications (IJDIWC), 2018, Vol. 8 No. 3, pp. 214-222.
[19]
M. A. Kianifar, D. R Naji and M. V. Malakooti, Multi-Agent and Clustering Based Wireless Sensor Network. Research Journal of Fishery and Hydrobiology, 2015, Vol. 10, Issue 9, Pp 240-246.
[20]
M. Bendjima and M. Feham, Intelligent Wireless Sensor Network Management based on a Multi-agent System. International Journal of Computer Science and Telecommunication, Vol. 3, Issue 2, February 2012.
[21]
K. A Gbolagade and D. S Cantofana, A Reverse Converter for the New 4-Moduli Set, 2009.
[22]
O. T Olabanji, K. A. Gbolagade and A. Yunus, Redundant Residue Number System Based Fault Tolerant Architecture over Wireless, in the proceedings of Ibadan ACM, Computing Research and Innovation (CoRI'16), 2016, Pp 212-216.
[23]
B. Arutselvan and R. Maheswari, Crt Based Rsa Algorithm For Improving Reliability And Energy Efficiency With Kalman Filter In Wireless Sensor Networks, International Journal of Engineering Trends and Technology (IJETT), 2013, Volume 4 Issue 5, Pp 1924-1929.
[24]
G. Campobello, A. Leonardi and S. Palazzo, A novel reliable and energy-saving forwarding technique for wireless sensor networks, Proceedings of the 10th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc ’09), 2009, pp. 269–278.
[25]
P. Khodabande, H. Toofani, B. Zarei and M. Farzin, Multicast Data Transmission using Residue Number System: Energy consumption Reduction in Wireless Sensor Networks. International Journal of Latest Trends in Computing, 2010, Vol. 1, Issue 2.
[26]
R. V. Kshirsagar and A. B. Jirapure, A Survey on Fault Detection and Fault Tolerance in Wireless Sensor Networks, International Conference on Benchmarks in Engineering Science and Technology ICBEST 2012 Proceedings published by International Journal of Computer Applications (IJCA).
[27]
M. Manisha and D. Nandal, Fault detection in wireless sensor networks, IPASJ International Journal of Computer Science, 2015, Volume 3, Issue 3 Pp 5-10.
[28]
G. Campobello, S. Serrano, A. Leonardi and S. Palazzo, Trade-Offs between Energy Saving and Reliability in Low Duty Cycle Wireless Sensor Networks Using a Packet Splitting Forwarding Technique, EURASIP Journal on Wireless Communications and Networking, Volume 2010, doi:10.1155/2010/932345.
[29]
V. K. Sachan, S. A. Imam and M. T. Beg, Energy-efficient Communication Methods in Wireless Sensor Networks: A Critical Review. International Journal of Computer Applications, 2012, Vol. 39, No. 17, Pp 35-48.
[30]
F, Alkhateeb, Z. A Al-Fakhry., E. Al Maghayreh, S, Aljawarneh & T. A. Al-Taani. A Multi-Agent-Based System for Securing University Campus. IJRRAS, Vol. 2 No. 3, 2002, pp. 223-248.
[31]
V. Hema & G. M. Durga, Data integrity checking based on residue number system and chinese remainder theorem in cloud international. Journal of Innovative Research in Science, Engineering and Technology, 2014, 3, Special Issue 3, pp. 2584-2588.
[32]
A. J. Joilson, F. L. Luiz and C. P. A. Luiz. Using the redundant residue number system to increase routing dependability on mobile ad hoc networks. Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), January Edition, 2001, pp. 67-73.
[33]
H. Khademolhosseini & M. Hosseinzadeh. A Robust Redundant Residue Representation in Residue Number System with Moduli Set (rn-2, rn-1, rn). International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 2011, Vol. 5, No. 8, pp. 1170-1175.
[34]
C. A. Mantill and J. L. Marzo. A QoS Framework for Heterogeneous Wireless Networks using a Multiagent System.
[35]
B. Rachid, H. Hafid and C. Pham. Multi-agent Topology Approach for Distributed Monitoring in Wireless Sensor Networks, The Tenth International Conference on Wireless and Mobile Communications, CWMC 2014.
[36]
B. T. Hemmelman & B. Premkumar. Error correction of corrupted data using a redundant residue number system. Proceedings of the South Dakota Academy of Science, 2003, Vol. 82, pp. 57-60.
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