Status-aware and energy-efficient data aggregation for inter-tidal monitoring systems
Tài liệu tham khảo
Khan, 2017, Wireless sensor network virtualization: A survey, IEEE Commun. Surv. Tutor., 18, 553, 10.1109/COMST.2015.2412971
Shafiq, 2020, Systematic literature review on energy efficient routing schemes in WSN – a survey, Mob. Netw. Appl., 25, 1
Mason, 2010, Remote sensing of intertidal morphological change in morecambe bay, U.K., between 1991 and 2007, Estuar. Coast. Shelf Sci., 87, 10.1016/j.ecss.2010.01.015
Granadeiro, 2021, Using sentinel-2 images to estimate topography, tidal-stage lags and exposure periods over Large Intertidal Areas, Remote. Sens., 13, 320, 10.3390/rs13020320
Clarke, 2019, Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery, Ecol. Inform., 50, 136, 10.1016/j.ecoinf.2019.01.011
Gade, 2020, SAR monitoring of coastal changes in intertidal areas, 4007
Tong, 2020, Energy-aware service selection and adaptation in wireless sensor networks with QoS guarantee, IEEE Trans. Serv. Comput., 13, 829, 10.1109/TSC.2017.2749227
Mazloomi, 2022, Efficient configuration for multi-objective QoS optimization in wireless sensor network, Ad Hoc Netw., 125, 10.1016/j.adhoc.2021.102730
Bhattacharjee, 2019, An energy efficient-delay aware routing algorithm in multihop wireless sensor networks, Ad Hoc Sens. Wirel. Netw., 43, 1
Jain, 2021, Delay-aware green routing for mobile-sink-based wireless sensor networks, IEEE Internet Things J., 8, 4882, 10.1109/JIOT.2020.3030120
Sun, 2021, Collision-free and low delay MAC protocol based on multi-level quorum system in underwater wireless sensor networks, Comput. Commun., 173, 56, 10.1016/j.comcom.2021.03.020
Zhu, 2022, A reinforcement-learning-based opportunistic routing protocol for energy-efficient and void-avoided UASNs, IEEE Sens. J., 22, 13589, 10.1109/JSEN.2022.3175994
Nuruzzaman, 2022, Routing protocol for a heterogeneous MSN with an intermittent mobile sink, IEEE Sens. J., 22, 22255, 10.1109/JSEN.2022.3212197
Zhao, 2017, Load balanced and efficient data collection protocol for wireless sensor networks, Int. J. High Perform. Comput. Netw., 10, 463, 10.1504/IJHPCN.2017.087463
Yao, 2015, EDAL: an energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks, IEEE/ACM Trans. Netw., 23, 810, 10.1109/TNET.2014.2306592
dos Santos Ribeiro Júnior, 2022, SplitPath: High throughput using multipath routing in dual-radio wireless sensor networks, Comput. Netw., 207
Yu, 2022, BMRHTA: balanced multipath routing and hybrid transmission approach for lifecycle maximization in WSNs, IEEE Internet Things J., 9, 728, 10.1109/JIOT.2021.3085597
Guo, 2018, Multirobot data gathering under buffer constraints and intermittent communication, IEEE Trans. Robot., 34, 1082, 10.1109/TRO.2018.2830370
Rabiya, 2019, Replica reduced routing protocol for intermittent connected networks in emergency scenarios, Int. J. Distrib. Syst. Technol., 10, 84, 10.4018/IJDST.2019040105
Kang, 2017, A novel energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks, Int. J. Distrib. Sens. Netw., 13, 10.1177/1550147717717389
Wang, 2021, DORA: a destination-oriented routing algorithm for energy-balanced wireless sensor networks, IEEE Internet Things J., 8, 2080, 10.1109/JIOT.2020.3025039
Tan, 2014, DFTBC: data fusion and tree-based clustering routing protocol for energy-efficient in wireless sensor networks, 61
Abolghasemi, 2021, Compressive sensing for remote flood monitoring, IEEE Sens. Lett., 5, 1, 10.1109/LSENS.2021.3066342
Z. Huang, M. Li, Y. Song, Y. Zhang, Z. Chen, Adaptive compressive data gathering for wireless sensor networks, in: 2017 3rd IEEE International Conference on Computer and Communications, ICCC, 2017, pp. 362–367.
Quan, 2016, Neighbor-aided spatial-temporal compressive data gathering in wireless sensor networks, IEEE Commun. Lett., 20, 578, 10.1109/LCOMM.2016.2519031
Wu, 2014
Peng, 2022, Compressive sensing-based missing-data-tolerant fault detection for remote condition monitoring of wind turbines, IEEE Trans. Ind. Electron., 69, 1937, 10.1109/TIE.2021.3057039
Lin, 2021, Energy-optimal data collection for unmanned aerial vehicle-aided industrial wireless sensor network-based agricultural monitoring system: A clustering compressed sampling approach, IEEE Trans. Ind. Inform., 17, 4411, 10.1109/TII.2020.3027840
Jain, 2019, iDEG: Integrated data and energy gathering framework for practical wireless sensor networks using compressive sensing, IEEE Sens. J., 19, 1040, 10.1109/JSEN.2018.2878788
Liu, 2020, Data aggregation in wireless sensor networks: From the perspective of security, IEEE Internet Things J., 7, 6495, 10.1109/JIOT.2019.2957396
Lata, 2021, Secure and reliable WSN for internet of things: Challenges and enabling technologies, IEEE Access, 9, 161103, 10.1109/ACCESS.2021.3131367
Pathak, 2022, An adaptive QoS and trust-based lightweight secure routing algorithm for WSNs, IEEE Internet Things J., 9, 23826, 10.1109/JIOT.2022.3189832
Bin-Yahya, 2022, Securing software-defined WSNs communication via trust management, IEEE Internet Things J., 9, 22230, 10.1109/JIOT.2021.3102578
Chen, 2022, A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems, Knowl.-Based Syst., 235, 10.1016/j.knosys.2021.107660
Ren, 2022, A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning, Future Gener. Comput. Syst., 127, 56, 10.1016/j.future.2021.09.003
Needell, 2010, Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit, IEEE J. Sel. Top. Signal Process., 4, 310, 10.1109/JSTSP.2010.2042412
Sahoo, 2015, Signal recovery from random measurements via extended orthogonal matching pursuit, IEEE Trans. Signal Process., 63, 2572, 10.1109/TSP.2015.2413384
Donoho, 2006, Compressed sensing, IEEE Trans. Inform. Theory, 52, 1289, 10.1109/TIT.2006.871582
Roughan, 2012, Spatio-temporal compressive sensing and internet traffic matrices (extended version), IEEE/ACM Trans. Netw., 20, 662, 10.1109/TNET.2011.2169424
Y.-C. Chen, L. Qiu, Y. Zhang, G. Xue, Z. Hu, Robust Network Compressive Sensing, in: Proceedings of ACM MobiCom, 2014.
E. Candès, Compressive sampling, 17 (2006) 1433–1452.
Candès, 2006, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inf. Theory, 52, 489, 10.1109/TIT.2005.862083
Baraniuk, 2007, Compressive sensing [lecture notes], IEEE Signal Process. Mag., 24, 118, 10.1109/MSP.2007.4286571
M. Kalra, D. Ghosh, Image compression using wavelet based compressed sensing and vector quantization, in: IEEE International Conference on Signal Processing, 2012, pp. 34–38.
Gnawali, 2009, Collection tree protocol, 1
Fonseca, 2007, Four-bit wireless link estimation
Lai, 2018, Energy efficient link-delay aware routing in wireless sensor networks, IEEE Sens. J., 18, 837, 10.1109/JSEN.2017.2772321