Data Redundancy Implications in Wireless Sensor Networks

Procedia Computer Science - Tập 132 - Trang 1210-1217 - 2018
Neetu Verma1, Dinesh Singh1
1Assistant Professor, CSE Department, DCRUST, Sonipat, India

Tài liệu tham khảo

Izadi, 2015, A Data Fusion Method in Wireless Sensor Networks, Sensors, 15, 2964, 10.3390/s150202964 Curiac, 2007, Redundancy and Its Applications in Wireless Sensor Networks: A Survey, Wseas Transactions On Computers, 1, 38 Hedi Haddada, Zied Bouyahiaa and Nafaa Jabeurb, (2017) “Towards a Three-Level Framework for IoT Redundancy Control through an Explicit Spatio-Temporal Data Model” ANT 2017: 664-671. Akkaya, 2008, The impact of data aggregation on the performance of wireless sensor networks, Wireless communication and mobile computing, 8, 171, 10.1002/wcm.454 Shouzhi Huang and Xuezeng Zhao. (2013) “Redundant Nodes Elimination in Wireless Sensor Networks” ICICA : 48-58. Federico Castanedo, [2013] ” A Review of Data Fusion Techniques”, The Scientific World Journal 2013. Latif-Shabgahi, 2005, A fuzzy voting scheme for hardware and software fault tolerant systems “Fuzzy Sets and Systems, 3), 598 Anavatti, 2014, “Data Aggregation Techniques to Remove Redundancy in Wireless Sensor Networks: Brief Overview” International Journal of Advance Foundation and Research in Computer (IJAFRC), 1 Viana, 2009, Decoupling Data Dissemination from Mobile Sink’s Trajectory in Wireless Sensor Networks, IEEE Communication Letters, 13, 10.1109/LCOMM.2009.081990 Kalpakis, 2003, 1948 Weilian Su and Theodoros C. Bougiouklis (2007) “Data Fusion Algorithms in Cluster-based Wireless Sensor Networks Using Fuzzy Logic Theory” WSEAS International Conference on Communications : 291-299. Heinzelman, 1999, 178 Kulic, 2002, “Negotiation-based Protocols for Disseminating Information in Wireless Sensor Networks “ Wireless Networks, 8, 169, 10.1023/A:1013715909417 Jesus, 2017, “A Survey on Data Quality for Dependable Monitoring in Wireless Sensor Networks “ Sensors, 17, 2010 He, 2004, "Energy-Efficient Surveillance System Using Wireless Sensor Networks", Mobisys, 104, 270, 10.1145/990064.990096 Daniel-loan Curiac, O. Banias, F. Dragan, C. Volosencu, O. Drang. (2007) “Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique” Third International Conference on Networking and Services (ICNS2007) : pp. 498-503. Fan, 2013, Research on the Wireless Sensor Network Data Fusion Technology, Advanced Materials Research, 756-759, 751, 10.4028/www.scientific.net/AMR.756-759.751 Zou, 2015, An Efficient Data Fusion Approach for Event Detection in Heterogeneous Wireless Sensor Networks, Appl. Math. Inf. Sci., 9, 517, 10.12785/amis/090160 Prakashgoud Patil and Umakant Kulkarni (2013) “SVM based Data Redundancy Elimination for Data Aggregation in Wireless Sensor Networks” International Conference on Advances in computing, Communication and Informatics : 1309-1316. Mantri, 2013, "BHCDA:Bandwidth Efficient Heterogeneity aware Cluster based Data Aggregation for Wireless Sensor Network, Advances in Computing, Communications and Informatics (ICACCI), 1064 Ramachandran, 2011, REDD: Redundancy Eliminated Data Dissemination in Cluster Based Mobile Sinks, ICRTIT, 330 Basavaraj S. Mathapati and Siddarama R. Patil (2012) “Energy Efficient Reliable Data Aggregation Technique for Wireless Sensor Networks,” International Conference on Computing Sciences, 10(5): 3. Xin Luna Dong, et. al. (2014) “From Data Fusion to Knowledge Fusion” Journal Proceedings of the VLDB Endowment, 7(10): 881-892. B. Prathiba, K. Jaya Sankar, and V. Sumalatha (2016) “Enhancing the Data Quality in Wireless Sensor Networks-A Review” International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT) : 448-454. Yates, 2007, "Data quality and query cost in wireless sensor networks", In Pervasive Computing and Communications Workshops, PerCom Workshops’, 07, 272 Wang, 2012, Mu MoCo: a Framework for Improving Data Quality with Multiple Modalities Cooperation in Wireless Sensor Networks, International Journal of Computer Science Issues (IJCSI), 9 Eldeen, 2017, "Analytical Modeling for reliability in cluster based Wireless Sensor Networks", ICACDOT, 20 Yassein, 2009, Improvement on LEACH protocol of wireless sensor network (VLEACH), Int. J. Digit. Content Technol. Appl., 3, 132 Yanhua, 2016, "Tree Based Data Aggregation Algorithm in Wireless Sensor Networks", iJOE, 12 Wang Q, Liao H, Wang K and Sang Y.A (2011) “Variable weight based fuzzy data fusion algorithm for WSN. In Proceedings of Ubiquitous Intelligence and Computing—8th International Conference; pp. 490-502. cum, 2003, "ESPDA: Energy-Efficient And Secure Pattern Based Data Aggregation For Wireless Sensor Networks", Sensors, 732 Khedo, 2010, READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks, Wireless Sensor Network, 300, 10.4236/wsn.2010.24041 H. cum, S. Ozdemir, P. Nuiry and D. Muthuavinashiappun, (2003) “ESPDA: Energy-Efficient And Secure Pattern Based Data Aggregation For Wireless Sensor Networks”, Sensors 2003 2,732-736. Khedo, 2010, "READA: Redundancy Elimination for Accurate Data Aggregation in Wireless Sensor Networks, Wireless Sensor Network, 300, 10.4236/wsn.2010.24041 Jungmin So, Jintae Kim and Indranil Gupta, (2005) “Cushion: Autonomically Adaptive Data Fusion in Wireless Sensor Networks”, International Conference on Mobile Adhoc and sensor network: 3. W. Heinzelman, A.P. Chandrakasan, and H. Balakrishnan. (2000) “Energy-Efficient Communication Protocols for Wireless Microsensor Networks “In Proc. of Hawaiian Intl. Conference on Systems Science, 2:10. Liu, 2012, A Survey on Clustering Routing Protocols in Wireless Sensor Networks, Sensors, 12, 11113, 10.3390/s120811113 Dhivya, 2011, " Energy efficient computation of data fusion in wireless sensor networks using cuckoo based particle approach (CBPA)", Int. J. of Communications Network and System Sciences, 4, 249, 10.4236/ijcns.2011.44030 J. Shell, S. Coupland and E. Goodyer (2010) “Fuzzy data fusion for fault detection in wireless sensor networks” Proceedings of 2010 UK Workshop on Computational Intelligence :1-6. Latif-Shabgahi, 2005, "A fuzzy voting scheme for hardware and software fault tolerant systems", Fuzzy sets and Systems, 150, 579, 10.1016/j.fss.2004.02.014