An Improved D-SMART Algorithm for Wireless Sensor Networks
Abstract
In this paper, a secure and low energy dynamic slicing algorithm, namely, Improved D-SMART (IM-D-SMART) based on the Data Aggregation Protocol on Slice Mix Aggregate (D-SMART) is proposed to improve the security and confidentiality of wireless sensor networks and reduce the energy consumption of nodes in data collection and transmission in wireless sensor networks. According to the importance of data, the residual energy of nodes and the relative density of nodes, the data are dynamically partitioned to improve the D-SMART algorithm. Simultaneously, sending negative number splicing is used to compensate for the loss caused by the collision of data transmission between nodes. The simulation results show that IM-D-SMART outperforms D-SMART in terms of computation, privacy and communication cost.
This paper was recommended by Regional Editor Takuro Sato.
References
- 1. , Joint application admission control and network slicing in virtual sensor networks, IEEE Internet Things J. 5 (2018) 28–43, https://doi.org/10.1109/JIOT.2017.2769446. Crossref, Web of Science, Google Scholar
- 2. , Deep learning-based traffic safety solution for a mixture of autonomous and manual vehicles in a 5g-enabled intelligent transportation system, IEEE Trans. Intell. Transp. Syst. 68 (2020) 1–11, https://doi.org/10.1109/TITS.2020.3042504. Google Scholar
- 3. , Exploration on node trust model of wireless sensor networks, Commun. Technol. 52 (2019) 434–438, https://doi.org/10.3969/j.issn.1002-0802.2019.02.029. Google Scholar
- 4. , A balance privacy-preserving data aggregation model in wireless sensor networks, Int. J. Distrib. Sensor Netw. 11 (2015) 1–10, https://doi.org/10.1155/2015/937280. Google Scholar
- 5. , Blockchain-enhanced data sharing with traceable and direct revocation in IIoT, IEEE Trans. Indus. Informatics (2021) 1, https://doi.org/10.1109/TII.2021.3049141. Web of Science, Google Scholar
- 6. , GroRec: A group-centric intelligent recommender system integrating social, mobile and big data technologies, IEEE Trans. Services Comput. 9 (2016) 786–795, https://doi.org/10.1109/TSC.2016.2592520. Crossref, Web of Science, Google Scholar
- 7. , Energy-efficient random access for LEO satellite-assisted 6G internet of remote things, IEEE Internet Things J. 8 (2021) 5114–5128, https://doi.org/10.1109/JIOT.2020.3030856. Crossref, Web of Science, Google Scholar
- 8. , Edge intelligence in the cognitive internet of things: improving sensitivity and interactivity, IEEE Netw. 33 (2019) 58–64, https://doi.org/10.1109/MNET.2019.1800344. Crossref, Web of Science, Google Scholar
- 9. , A novel cost optimization strategy for SDN-enabled UAV-assisted vehicular computation offloading, IEEE Intell. Transp. Syst. 22 (2021) 3664–3647. Crossref, Web of Science, Google Scholar
- 10. , A secure data aggregation scheme based on appropriate cryptographic primitives in heterogeneous wireless sensor networks, IEEE Trans. Parallel Distrib. Syst. 26 (2015) 2128–2139, https://doi.org/10.1109/TPDS.2014.2346764. Crossref, Web of Science, Google Scholar
- 11. , Novel online sequential learning-based adaptive routing for edge software-defined vehicular networks, IEEE Trans. Wireless Commun. 20 (2021) 2991–3004. Crossref, Web of Science, Google Scholar
- 12. , 3D reconstruction for motion blurred images using deep learning-based intelligent systems, CMC-Comput. Mater. Con. 66 (2021) 2087–2104, https://doi.org/10.32604/cmc.2020.014220. Crossref, Web of Science, Google Scholar
- 13. , Research and improvement of wireless sensor network secure data aggregation protocol based on SMART, Int. J. Wirel. Inf. Netw. 20 (2018) 1–9, https://doi.org/10.1007/s10776-017-0381-0. Google Scholar
- 14. , PDA: Privacy-preserving data aggregation in wireless sensor networks, Proc. IEEE INFOCOM 2007 - 26th IEEE Int. Conf. Computer Communications,
6–12 May 2007 ,Anchorage, AK, USA (2007), pp. 2045–2053, https://doi.org/10.1109/INFCOM.2007.237. Crossref, Google Scholar - 15. , A low energy consumption data fusion privacy protection algorithm, Chin. J. Comput. 34 (2011) 792–800, https://doi.org/10.3724/SP.J.1016.2011.00792. Crossref, Google Scholar
- 16. , Energy-efficient adaptive slice-based secure data aggregation scheme in WSN, Procedia Comput. Sci. 129 (2018) 188–193, https://doi.org/10.1016/j.procs.2018.03.033. Crossref, Google Scholar
- 17. , RFID privacy risk evaluation based on synthetic method of extended attack tree and information feature entropy, Int. J. Distrib. Sens. Netw. 11 (2015) 1–11, https://doi.org/10.1155/2015/146409. Crossref, Web of Science, Google Scholar
- 18. , CSDA: A novel cluster-based secure data aggregation scheme for WSNs, Cluster Comput. 22 (2019) 5233–5244, https://doi.org/10.1007/s10586-017-1195-7. Crossref, Web of Science, Google Scholar
- 19. , A trust-based dynamic slicing mechanism for wireless sensor networks, Procedia Comput. Sci. 174 (2020) 572–577, https://doi.org/10.1016/j.procs.2020.06.126. Crossref, Google Scholar
- 20. , Malleability resilient concealed data aggregation in wireless sensor networks, Wireless Pers. Commun. 87 (2016) 971–993, https://doi.org/10.1007/s11277-015-2633-6. Crossref, Web of Science, Google Scholar
- 21. , A new private-preserving algorithm based on SMART, J. Comput. 27 (2016) 171–185, https://doi.org/10.3966/199115592016122704014. Google Scholar
- 22. , A data fusion method in wireless sensor networks, Sensors 15 (2015) 2964–2979, https://doi.org/10.3390/s150202964. Crossref, Web of Science, Google Scholar
- 23. , Integrity protecting hierarchical concealed data aggregation for wireless sensor networks, Comput. Netw. 55 (2011) 1735–1746, https://doi.org/10.1016/j.comnet.2011.01.006. Crossref, Web of Science, Google Scholar
- 24. , Prediction models for energy efficient data aggregation in wireless sensor network, Wireless Pers. Commun. 84 (2015) 1325–1343, https://doi.org/10.1007/s11277-015-2690-x. Crossref, Web of Science, Google Scholar
- 25. , Design of secure privacy-preserving data aggregation scheme for wireless sensor network, J. Commun. 35 (2014) 154–161, https://doi.org/10.3969/j.issn.1000-436x.2014.11.018. Google Scholar
- 26. , Preserving privacy against external and internal threats in WSN data aggregation, Telecommun. Syst. 52 (2013) 2163–2176, https://doi.org/10.1007/s11235-011-9539-8. Crossref, Web of Science, Google Scholar
- 27. , Efficient and privacy-preserving medical research support platform against covid-19: A block chain-based approach, IEEE Consum. Electron. Mag. 10 (2021) 111–120, https://doi.org/10.1109/MCE.2020.3035520. Crossref, Web of Science, Google Scholar