FAMACROW: Fuzzy and ant colony optimization based combined mac, routing, and unequal clustering cross-layer protocol for wireless sensor networks

Yick, 2008, Wireless sensor network survey, J. Comp. Netw., 52, 2292, 10.1016/j.comnet.2008.04.002 Gajjar, 2011, Wireless sensor networks: application led research perspective, Proc. IEEE Recent Adv. Intell. Comput. Syst., 025 Rault, 2014, Energy efficiency in wireless sensor networks: a top-down survey, J. Comp. Netw., 67, 104, 10.1016/j.comnet.2014.03.027 Wang, 2011, Networked wireless sensor data collection: issues. challenges, and approaches, IEEE Commun. Surv. Tut., 13, 673, 10.1109/SURV.2011.060710.00066 Gajjar, 2014, Comparative analysis of wireless sensor network motes, Proc. Int. Conf. Signal Process. Integr. Netw., 426 Jurdak, 2007 Tanenbaum, 2011 Venayagamoorthy, 2009, A successful interdisciplinary course on computational intelligence, IEEE Comput. Intell. Mag., 4, 14, 10.1109/MCI.2008.930983 Kulkarni, 2011, Computational intelligence in wireless sensor networks: a survey, IEEE Commun. Surv. Tut., 13, 68, 10.1109/SURV.2011.040310.00002 Guo, 2014, A survey on intelligent routing protocols in wireless sensor networks, J. Netw. Comp. Appl., 38, 185, 10.1016/j.jnca.2013.04.001 Zungeru, 2012, Classical and swarm intelligence based routing protocols for wireless sensor networks: a survey and comparison, J. Netw. Comp. Appl., 35, 1508, 10.1016/j.jnca.2012.03.004 Mhatre, 2004, Design guidelines for wireless sensor networks: communication, clustering and aggregation, J. Ad Hoc Netw., 2, 45, 10.1016/S1570-8705(03)00047-7 Deosarkar, 2008, Cluster head selection in clustering algorithm for wireless sensor networks: a survey, Proc. Int. Conf. Comput. Commun. Netw., 1 Liu, 2012, A survey on clustering routing protocols in wireless sensor networks sensors, J. Sens., 12, 11113, 10.3390/s120811113 Tyagi, 2013, A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks, J. Netw. Comp. Appl., 36, 623, 10.1016/j.jnca.2012.12.001 Gajjar, 2013, Performance analysis of clustering protocols for wireless sensor networks, Int. J. Electron. Commun. Eng. Technol., 4, 107 Jang, 2003 Zadeh, 2008, Is there a need for fuzzy logic?, ACM J. Inf. Sci., 178, 2751, 10.1016/j.ins.2008.02.012 Gajjar, 2014, Cluster head selection protocol using fuzzy logic for wireless sensor networks, Int. J. Comp. Appl., 97, 38 Leonard, 2011, Evaluation of an intelligent fuzzy-based cluster head selection system using different parameters, Proc. Int. Conf. Adv. Inf. Netw. Appl., 388 Lee, 2011, FRCA: a fuzzy relevance based cluster head selection algorithm for wireless mobile ad-hoc sensor networks, J. Sens., 11, 5383, 10.3390/s110505383 Mhemed, 2012, An energy efficient fuzzy logic cluster formation protocol in wireless sensor networks, Proc. Comp. Sci., 10, 255, 10.1016/j.procs.2012.06.035 Taheri, 2012, An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic, J. Ad Hoc Netw., 10, 1469, 10.1016/j.adhoc.2012.04.004 Torghabeh, 2010, Cluster head selection using a two-level fuzzy logic in wireless sensor networks, Proc. Int. Conf. Comp. Eng. Technol., 2, 357 Dutta, 2013, Impact of two level fuzzy cluster head selection model for wireless sensor network: an energy efficient approach in remote monitoring scenarios, Int. J. Inf. Process., 7, 69 Kuila, 2014, A novel differential evolution based clustering algorithm for wireless sensor networks, J. Appl. Soft Comput., 414, 10.1016/j.asoc.2014.08.064 Senthilkumar, 2012, Advertisement timeout driven Bee's mating approach to maintain fair energy level in sensor networks, J. Appl. Soft Comput., 1884, 10.1016/j.asoc.2012.04.019 Younis, 2004, HEED: a hybrid, energy-efficient distributed clustering approach for ad hoc sensor networks, IEEE Trans. Mobile Comput., 3, 660, 10.1109/TMC.2004.41 Mardinil, 2014, Rotated hybrid energy-efficient and distributed (R-HEED) clustering protocol in wireless sensor networks, World Sci. Eng. Acad. Soc. Trans. Commun., 13, 275 Yu, 2012, A cluster-based routing protocol for wireless sensor networks with non-uniform node distribution, J. Electron. Commun., 66, 54 Vennira Selvi, 2013, A survey of energy efficient unequal clustering algorithms for wireless sensor networks, Int. J. Comp. Appl., 79, 1 Ever, 2012, UHEED – an unequal clustering algorithm for wireless sensor networks, Proc. Int. Conf. Sens. Netw., 185 Chen, 2009, An unequal cluster-based routing protocol in wireless sensor networks, J. Wireless Netw., 15, 193, 10.1007/s11276-007-0035-8 Yu, 2011, An energy-driven unequal clustering protocol for heterogeneous wireless sensor networks, J. Control Theory Appl., 30, 133, 10.1007/s11768-011-0232-y Mao, 2012, An improved fuzzy unequal clustering algorithm for wireless sensor network, J. Mobile Netw. Appl., 18, 206, 10.1007/s11036-012-0356-4 Dorigo, 2004 Bagci, 2013, An energy aware fuzzy approach to unequal clustering in wireless sensor networks, J. Appl. Soft Comput., 13, 1741, 10.1016/j.asoc.2012.12.029 Li, 2013, COCA: constructing optimal clustering architecture to maximize sensor network lifetime, J. Comp. Commun., 36, 256, 10.1016/j.comcom.2012.10.006 Rani, 2015, Energy efficient chain based cooperative routing protocol for wireless sensor networks, J. Appl. Soft Comput., 35, 386, 10.1016/j.asoc.2015.06.034 Thakkar, 2015, A new bollinger band based energy efficient routing for clustered wireless sensor network, J. Appl. Soft Comput., 144, 10.1016/j.asoc.2015.03.018 Bollinger, 2014 Sert, 2015, MOFCA: multi-objective fuzzy clustering algorithm for wireless sensor networks, J. Appl. Soft Comput., 30, 151, 10.1016/j.asoc.2014.11.063 Zhao, 2010, An unequal layered clustering approach for large scale wireless sensor networks, Proc. Int. Conf. Fut. Comp. Commun., 1, 750 Wei, 2011, An energy-efficient clustering solution for wireless sensor networks, IEEE Trans. Wireless Commun., 10, 3973, 10.1109/TWC.2011.092011.110717 Yu, 2011, An energy-aware distributed unequal clustering protocol for wireless sensor networks, Hindawi Int. J. Distrib. Sens. Netw., 1 Nazir, 2013, Energy efficient and QoS aware routing protocol for clustered wireless sensor network, J. Comp. Electr. Eng., 39, 2425, 10.1016/j.compeleceng.2013.06.011 Bara, 2012, A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks, J. Appl. Soft Comput., 12, 1950, 10.1016/j.asoc.2011.04.007 Gajjar, 2014, Self organized, flexible latency, and energy efficient protocol for wireless sensor networks, J. Wireless Inf. Netw., 21, 290, 10.1007/s10776-014-0251-y Gajjar, 2011, Cross-layer architectural approaches for wireless sensor network, Proc. IEEE Recent Adv. Intell. Comput. Syst., 22 Mendes, 2011, A survey on cross layer solutions for wireless sensor networks, J. Netw. Comp. Appl., 34, 523, 10.1016/j.jnca.2010.11.009 Jagadeesan, 2012, Cross layer design in wireless sensor networks, J. Adv. Intell. Soft Comput., 166, 283, 10.1007/978-3-642-30157-5_29 Gajjar, 2012, Performance analysis of cross-layer protocols of wireless sensor networks, Proc. Int. Conf. Adv. Comput. Commun. Inf., 348 Pahlavan, 2005 Gajjar, 2014, Design, development and testing of wireless sensor network mote, Proc. Int. Conf. Dev. Circuits Commun., 1 Rondinone, 2008, Designing a reliable and stable link quality metric for wireless sensor networks, Proc. Workshop Real-World Wireless Sens. Netw., 6, 10.1145/1435473.1435476 Zheng, 2011, A link quality inference model for IEEE 802.15.4 low-rate wireless personal area network, Proc. Global Telecommun. Conf., 1 Lanzisera, 2009, Reducing average power in wireless sensor networks through data rate adaptation, Proc. IEEE Int. Conf. Commun., 480 TI MSP430 datasheet, 2015, 1 Watteyne, 2009, 20 Heinzelman, 2002, An application specific protocol architecture for wireless microsensor networks, IEEE Trans. Wireless Commun., 1, 660, 10.1109/TWC.2002.804190 Rajagopalan, 2006, Data aggregation techniques in sensor networks: a survey, IEEE Commun. Surv. Tut., 8, 48, 10.1109/COMST.2006.283821 MathWorks Documentation Center, Available at: http://www.mathworks.in/help/matlab/ (accessed 18.10.15). The Network Simulator NS-2 Documentation, Available at: http://www.isi.edu/nsnam/ns/ (accessed 18.10.15).