References

Ahmad, J. and F. Zafar, 2012. Review of body area network technology and wireless medical monitoring. Intl. J. Inf. Commun. Technol. Res., 2: 186-188.
Direct Link  |  

AlShawi, I.S., L. Yan, W. Pan and B. Luo, 2014. Fuzzy chessboard clustering and artificial bee colony routing method for energy-efficient heterogeneous wireless sensor networks. Intl. J. Commun. Syst., 27: 3581-3599.
CrossRef  |  Direct Link  |  

Alshawi, I.S., L. Yan, W. Pan and B. Luo, 2012. Lifetime enhancement in wireless sensor networks using fuzzy approach and a-star algorithm. Sensors J., 12: 3010-3018.
CrossRef  |  Direct Link  |  

De-Carvalho E.S.B.J., 2015. Link quality analysis of wireless underground sensor networks. Ph.D Thesis, University of Pretoria, Pretoria, South Africa.

Gajjar, S., M. Sarkar and K. Dasgupta, 2014. Cluster head selection protocol using fuzzy logic for wireless sensor networks. Intl. J. Comput. Appl., 97: 38-43.
CrossRef  |  

Heinzelman, W.R., A. Chandrakasan and H. Balakrishnan, 2000. Energy-efficient communication protocol for wireless microsensor networks. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, January 7, 2000, IEEE, Maui, Hawaii, ISBN:0-7695-0493-0, pp: 1-10.

Javaid, N., Z. Abbas, M.S. Fareed, Z.A. Khan and N. Alrajeh, 2013. M-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. Procedia Comput. Sci., 19: 224-231.
Direct Link  |  

Jiang, H., Y. Sun, R. Sun and H. Xu, 2013. Fuzzy-logic-based energy optimized routing for wireless sensor networks. Intl. J. Distrib. Sens. Netw., Vol. 9,

Lafta, H.A. and F.M. Salman, 2014. Optimal path selection in Ad Hoc (MANET) by using genetic fuzzy petri net. Res. J. Sci., 6: 580-585.

MathWorks, 2017. Fuzzy logic toolbox: User’s guide. MathWorks, Natick, Massachusetts, USA. https://www.mathworks.com/help/pdf_doc/fuzzy/fuzzy.pdf.

Nadeem, Q., N. Javaid, S.N. Mohammad, M.Y. Khan and S. Sarfraz et al., 2013. Simple: Stable increased-throughput multi-hop protocol for link efficiency in wireless body area networks. Proceedings of the 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), October 28-30, 2013, IEEE, Compiegne, France, ISBN:978-1-4799-1468-5, pp: 221-226.

Naggar, Y.A., 2015. A novel clustering method for wireless body area sensor networks using fuzzy logic. J. T. Comm. Russian, 9: 78-83.
Direct Link  |  

Potdar, V., A. Sharif and E. Chang, 2009. Wireless sensor networks: A survey. Proceedings of the 2009 International Workshops on Advanced Information Networking and Applications (WAINA'09), May 26-29, 2009, IEEE, Bradford, UK., ISBN:978-1-4244-3999-7, pp: 636-641.

Sharma, T. and B. Kumar, 2012. F-MCHEL: Fuzzy based master cluster head election leach protocol in wireless sensor network. Intl. J. Comput. Sci. Telecommun., 3: 8-13.

Smolau, S., 2009. Evaluation of the received signal strength indicator for node localization in wireless sensor networks. Ph.D Thesis, Université Laval, Quebec City, Quebec, Canada.

Suresh, D. and P. Alli, 2012. An overview of research issues in the modern healthcare monitoring system design using wireless body area network. Am. J. Appl. Sci., 9: 54-59.
Direct Link  |  

Tickoo, V. and S. Gambhir, 2015. A comparison study of congestion control protocols in WBAN. Intl. J. Innovations Adv. Comput. Sci., 4: 121-127.

Zadeh, L.A., 1965. Fuzzy sets. Inform. Control, 8: 338-353.
CrossRef  |  Direct Link  |  

Zadeh, L.A., 1994. Fuzzy logic, neural networks and soft computing. Commun. ACM, 37: 77-84.
CrossRef  |  Direct Link  |