Cân Bằng Năng Lượng Dựa Trên Nhiều Tham Số và Tối Ưu Hóa Clustering cho Mạng Cảm Biến nhằm Tăng Cường Thời Gian Hoạt Động Sử Dụng Các Phương Pháp MADM

Zhao, F., & Guibas, L. J. (2004). Wireless sensor networks: an information processing approach. Burlington: Morgan Kaufmann. Raghavendra, C. S., Sivalingam, K. M., & Znati, T. (2006). Wireless sensor networks. Berlin: Springer. Akyildiz, I. F., & Kasimoglu, I. H. (2004). Wireless sensor and actor networks: research challenges. Ad hoc networks, 2(4), 351–367. Elsevier. Yao, Y., Cao, Q., Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In 2013 IEEE 10th international conference on mobile ad-hoc and sensor systems (MASS) (pp. 182–190). IEEE. Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., & Leung, K. (2013). A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–98. IEEE. Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 134165. Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. V. (2016). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers, 65(1), 244–255. IEEE. Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion + dilation in networks via” quality of routing games. IEEE Transactions on Computers, 61(9), 1270–1283. IEEE. Dvir, A., & Vasilakos, A. V. (2010). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 40(4), 405–406. ACM. Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173. Luo, X., Hu, Y., & Zhu, Y. (2014). Topology evolution model for wireless multi-hop network based on socially inspired mechanism. Physica A: Statistical Mechanics and its Applications, 416, 639–650. Elsevier. Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–2557. IEEE. Hu, X., Li, Y., & Xu, H. (2017). Multi-mode clustering model for hierarchical wireless sensor networks. Physica A: Statistical Mechanics and its Applications, 469, 665–675. Elsevier. Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754. IEEE. Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–113. IEEE. Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A. V., & Rong, X. (2015). Data mining for the internet of things: Literature review and challenges. International Journal of Distributed Sensor Networks, 11, 431047. Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20(8), 2481–2501. Springer. Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Applications, 42, 120–134. Elsevier. Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10. Elsevier. Sengupta, S., Das, S., Nasir, M., Vasilakos, A. V., & Pedrycz, W. (2012). An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 1093–1102. IEEE. Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In 2011 8th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks (SECON) (pp. 46–54). IEEE. Yao, Y., Cao, Q., & Vasilakos, A. V. (2015). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. IEEE/ACM Transactions on Networking (TON), 23(3), 810–823. IEEE Press. Xiao, Y., Peng, M., Gibson, J., Xie, G. G., Du, D.-Z., & Vasilakos, A. V. (2012). Tight performance bounds of multihop fair access for MAC protocols in wireless sensor networks and underwater sensor networks. IEEE Transactions on Mobile Computing, 11(10), 1538–1554. IEEE. Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter. Computer Communications, 34(6), 793–802. Elsevier. Liu, X.-Y., Zhu, Y., Kong, L., Liu, C., Gu, Y., Vasilakos, A. V., et al. (2015). CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8), 2188–2197. IEEE. Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S.-S. (2010). Context-aware middleware for multimedia services in heterogeneous networks. IEEE Intelligent Systems, IEEE. Xu, X., Ansari, R., Khokhar, A., & Vasilakos, A. V. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNs. ACM Transactions on Sensor Networks (TOSN), 11(3), 45. ACM. Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670. IEEE. Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379. IEEE. Kuila, P., & Jana, P. K. (2014). Energy efficient clusterin and routing algorithms for wireless sensor networks: Particle swarm optimization approach. Engineering Applications of Artificial Intelligence, 33, 127–140. Elsevier. Fei, Z., Li, B., Yang, S., Xing, C., Chen, H., & Hanzo, L. (2017). A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems. IEEE Communications Surveys & Tutorials, 19(1), 550–586. IEEE. Yoon, K. S. (1981). Multiple attribute decision making. Berlin: Spring. Triantaphyllou, E. (2000). Multi-criteria decision making methods: A comparative study (pp. 5–21). Berlin: Springer. Yoon, K., & Hwang, C.-L. (1981). Multiple attribute decision making: Methods and applications. Berlin: Springer. Baker, D., Ephremides, A., & Flynn, J. (1984). The design and simulation of a mobile radio network with distributed control. IEEE Journal on Selected Areas in Communications, 2(1), 226–237. IEEE. Basagni, S. (1999). Distributed clustering for ad hoc networks. In Proceedings of fourth international symposium on parallel architectures, algorithms, and networks, 1999. (I-SPAN’99), (pp. 310–315). IEEE. Amis, A. D., Prakash, R., Vuong, T. H. P., & Huynh, D. T. (2000) Max-min d-cluster formation in wireless ad hoc networks. In Proceedings of nineteenth annual joint conference of the IEEE computer and communications societies INFOCOM 2000 1 (pp. 32–41). IEEE. Demirbas, M., Arora, A., & Mittal, V. (2004). FLOC: A fast local clustering service for wireless sensor networks. Workshop on dependability issues in wireless ad hoc networks and sensor networks (DIWANS/DSN 2004) (pp. 1–6). Chan, H., & Perrig, A. (2004). ACE: An emergent algorithm for highly uniform cluster formation. Lecture notes in computer science, 2920 (pp. 154–171). Springer. Ding, P., Holliday, J. A., & Celik, A. (2005). Distributed energy-efficient hierarchical clustering for wireless sensor networks, distributed computing in sensor systems (pp. 466–467). Berlin: Springer. Bandyopadhyay, S., & Coyle, E. J. (2003). An energy efficient hierarchical clustering algorithm for wireless sensor networks. In Twenty-second annual joint conference of the IEEE computer and communications INFOCOM 2003. IEEE Societies, 3 (pp. 1713–1723). IEEE. Ye, M., Li, C., Chen, G., & Wu, J. (2005). EECS: An energy efficient clustering scheme in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference IPCCC 2005 (pp. 535–540). IEEE. Youssef, A., Agrawala, A., Younis, M. (2005). Accurate anchor-free node localization in wireless sensor networks. In 24th IEEE international performance, computing, and communications conference IPCCC 2005 (pp. 465–470). IEEE. Yuan, H.-Y., Yang, S.-Q., & Yi, Y.-Q. (2011). An energy-efficient unequal clustering method for wireless sensor networks. In 2011 international conference on computer and management (CAMAN) (pp. 1–4). IEEE. Comeau, F., Sivakumar, S. C., Robertson, W., Phillips, W. J. (2006) Energy conserving architectures and algorithms for wireless sensor networks. In Proceedings of the 39th annual Hawaii international conference on system sciences, 2006. HICSS’06 9 (pp. 236c–236c). IEEE. Yi, S., Heo, J., Cho, Y., & Hong, J. (2007). PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks. Computer Communications, 30(14), 2842–2852. Elsevier. Kim, D.-S., & Chung, Y.-J. (2006). Self-organization routing protocol supporting mobile nodes for wireless sensor network. In First international multi-symposiums on computer and computational sciences, 2006, IMSCCS’06 2 (pp. 622–626). IEEE. Renugadevi, G., & Sumithra, M. G. (2013). An analysis on LEACH-mobile protocol for mobile wireless sensor networks. International Journal of Computer Applications, 65, 21. Foundation of Computer Science. Kumar, G. S., Vinu, P. M. V., & Jacob, K. P. (2008). Mobility metric based leach-mobile protocol. In 16th International conference on advanced computing and communications, 2008, ADCOM 2008 (pp. 248–253). IEEE. Corn, J., & Bruce, J. W. (2017). Clustering algorithm for improved network lifetime of mobile wireless sensor networks. 2017 International conference on computing, networking and communications (ICNC) (pp. 1063–1067). IEEE. Xiangning, F., Yulin, S. (2007). Improvement on LEACH protocol of wireless sensor network. In International conference on sensor technologies and applications, 2007, SensorComm 2007 (pp. 260–264). IEEE. Yu-quan, Z., & Lei, W. (2010). Improving the LEACH protocol for wireless sensor networks. In 2010, IET. Li, Y.-Z., Zhang, A.-L., & Liang, Y.-Z. (2013). Improvement of leach protocol for wireless sensor networks. In 2013 Third international conference on instrumentation, measurement, computer, communication and control (IMCCC) (pp. 322–326). IEEE. Ma, X. W., & Yu, X. (2013). Improvement on LEACH protocol of wireless sensor network. Applied Mechanics and Materials, 347, 1738–1742. Trans Tech Publ. Koucheryavy, A., Salim, A., & Osamy, W. (2009). Enhanced LEACH protocol for wireless sensor networks. St. Petersburg University of Telecommunication. Kumar, D., Aseri, T. C., & Patel, R. B. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662–667. Elsevier. Qureshi, T. N., Javaid, N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). BEENISH: Balanced energy efficient network integrated super heterogeneous protocol for wireless sensor networks. Procedia Computer Science, 19, 920–925. Elsevier. Javaid, N., Qureshi, T. N., Khan, A. H., Iqbal, A., Akhtar, E., & Ishfaq, M. (2013). EDDEEC: Enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Computer Science, 19, 914–919. Elsevier. Jin, S., Zhou, M., & Wu, A. S. (2003). Sensor network optimization using a genetic algorithm. In Proceedings of the 7th world multiconference on systemics, cybernetics and informatics (pp. 109–116). Ferentinos, K. P., Tsiligiridis, T. A., & Arvanitis, K. G. (2005). Energy optimization of wirless sensor networks for environmental measurements. In Proceedings of the international conference on computational intelligence for measurement systems and applicatons (CIMSA) 51 (pp. 1031–1051). Lee, D., Lee, W., & Kim, J. (2007). Genetic algorithmic topology control for two-tiered wireless sensor networks. Computational Science-ICCS, 2007, 385–392. Springer. Nitesh, K., Azharuddin, M. & Jana, P. K. (2015). Energy efficient fault-tolerant clustering algorithm for wireless sensor networks. In 2015 International conference on green computing and Internet of Things (ICGCIoT) (pp. 234–239). Kuila, P., Gupta, S. K., & Jana, P. K. (2013). A novel evolutionary approach for load balanced clustering problem for wireless sensor networks. Swarm and Evolutionary Computation, 12, 48–56. Elsevier. Kuila, P., & Jana, P. K. (2014). A novel differential evolution based clustering algorithm for wireless sensor networks. Applied Soft Computing, 25, 414–425. Elsevier. Li, S., Li, L., & Yang, Y. (2011). A local-world heterogeneous model of wireless sensor networks with node and link diversity. Physica A: Statistical Mechanics and Its Applications, 390(6), 1182–1191. Elsevier. Saaty, T. L. (1990). Decision making for leaders: The analytic hierarchy process for decisions in a complex world. Pittsburgh: RWS Publications. Saaty, T. L. (2013). Analytic hierarchy process, encyclopedia of operations research and management science (pp. 52–64). Berlin: Springer. Yaoyao, Y., Juwei, S., Yinong, L., Ping, Z. (2006). Cluster head selection using analytical hierarchy process for wireless sensor networks. 2006 IEEE 17th international symposium on personal, indoor and mobile radio communications (pp. 1–5). IEEE. Durán, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34(3), 1787–1794. Elsevier. Azadeh, A., Ghaderi, S. F., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195(2), 775–785. Elsevier. Wei, C.-C., Chien, C.-F., & Wang, M.-J. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47–62. Elsevier. Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889–899. Elsevier. Hamzeloei, F., & Dermany, M. K. (2016). A TOPSIS based cluster head selection for wireless sensor network. Procedia Computer Science, 98, 8–15. Elsevier. Azad, P., & Sharma, V. (2013). Clusterhead selection using multiple attribute decision making (MADM) approach in wireless sensor networks. International conference on heterogeneous networking for quality, reliability, security and robustness (pp. 141–154). Springer. Yoon, K. (1987). A reconciliation among discrete compromise solutions. Journal of the Operational Research Society, 38(3), 277–286. Assari, A., Mahesh, T. M., & Assari, E. (2012). Role of public participation in sustainability of historical city: Usage of TOPSIS method. Indian Journal of Science and Technology, 5(3), 2289–2294. Brans, J. P. (1982). The engineering of decision: Elaboration instruments of decision support method PROMETHEE. Laval University, Quebec, Canada, Laval University, Quebec Canada. Brans, J.-P., & Vincke, P. (1985). Note—A preference ranking organisation method: (The PROMETHEE method for multiple criteria decision-making). Management Science, 31(6), 647–656. INFORMS. Chipcon, A. S. (2004). CC1000: Single chip very low power RF transceiver. 2004-04-20] (2004). http://www.chipcon.com/files/CC1000-Data-Sheet-2-2.pdf. Accessed 20th Apr 2004. Texas, I. (2001) Instruments, MSP430x13x, MSP430x14x Mixed Signal Microcontroller. Datasheet. Moteiv corporation. http://www.moteiv.com/xcart/product.php?productid=1. Accessed 2nd Feb 2008. Crossbow Technology Inc. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/TelosB_Datasheet.pdf. Accessed 2nd Feb 2008. Crossbow Technology Inc. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/6020-0060-01_A_MICAz.pdf. Accessed 2nd Feb 2008.