Blockchain Based Wireless Sensor Networks for Detecting Nodes

[1] Min, L., & Ranxin, G. (2019, December). Malicious nodes detection algorithm based on triangle module fusion operator in wireless sensor networks. In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (Vol. 1, pp. 118-121). IEEE. Search in Google Scholar

[2] Kimura, Y., Nii, E., & Takizawa, Y. (2019, December). Cooperative detection for falsification and isolation of malicious nodes through inter-node vote for wireless sensor networks in open environments. In 2019 Global Information Infrastructure and Networking Symposium (GIIS) (pp. 1-3). IEEE. Search in Google Scholar

[3] Jaint, B., Singh, V., Tanwar, L. K., Indu, S., & Pandey, N. (2018, October). An efficient weighted trust method for malicious node detection in clustered wireless sensor networks. In 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1183-1187). IEEE. Search in Google Scholar

[4] Abd El-Moghith, I. A., & Darwish, S. M. (2021). Towards designing a trusted routing scheme in wireless sensor networks: A new deep blockchain approach. IEEE Access, 9, 103822-103834. Search in Google Scholar

[5] Sivaganesan, D. D. (2021). A data driven trust mechanism based on blockchain in IoT sensor networks for detection and mitigation of attacks. Journal of Trends in Computer Science and Smart Technology, 3(1), 59-69. Search in Google Scholar

[6] Shah, K., & Jinwala, D. (2021). Privacy preserving secure expansive aggregation with malicious node identification in linear wireless sensor networks. Frontiers of Computer Science, 15, 1-9. Search in Google Scholar

[7] Manuel, A. J., Deverajan, G. G., Patan, R., & Gandomi, A. H. (2020). Optimization of routing-based clustering approaches in wireless sensor network: Review and open research issues. Electronics, 9(10), 1630. Search in Google Scholar

[8] Ellul, J., & Pace, G. J. (2018, February). Alkylvm: A virtual machine for smart contract blockchain connected internet of things. In 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1-4). IEEE. Search in Google Scholar

[9] Pan, J., Wang, J., Hester, A., Alqerm, I., Liu, Y., & Zhao, Y. (2018). EdgeChain: An edge-IoT framework and prototype based on blockchain and smart contracts. IEEE Internet of Things Journal, 6(3), 4719-4732. Search in Google Scholar

[10] Islam, M. N., & Kundu, S. (2018, April). Preserving IoT privacy in sharing economy via smart contract. In 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI) (pp. 296-297). IEEE. Search in Google Scholar

[11] Kang, E. S., Pee, S. J., Song, J. G., & Jang, J. W. (2018, April). A blockchain-based energy trading platform for smart homes in a microgrid. In 2018 3rd international conference on computer and communication systems (ICCCS) (pp. 472-476). IEEE. Search in Google Scholar

[12] Zhang, Y., Kasahara, S., Shen, Y., Jiang, X., & Wan, J. (2018). Smart contract-based access control for the internet of things. IEEE Internet of Things Journal, 6(2), 1594-1605. Search in Google Scholar

[13] del Rio, J., Toma, D. M., Martinez, E., O’Reilly, T. C., Delory, E., Pearlman, J. S., ... & Jirka, S. (2017). A sensor web architecture for integrating smart oceanographic sensors into the semantic sensor web. IEEE Journal of Oceanic Engineering, 43(4), 830-842. Search in Google Scholar

[14] Lu, W., Gong, Y., Liu, X., Wu, J., & Peng, H. (2017). Collaborative energy and information transfer in green wireless sensor networks for smart cities. IEEE Transactions on Industrial Informatics, 14(4), 1585-1593. Search in Google Scholar

[15] Lei, A., Cruickshank, H., Cao, Y., Asuquo, P., Ogah, C. P. A., & Sun, Z. (2017). Blockchain-based dynamic key management for heterogeneous intelligent transportation systems. IEEE Internet of Things Journal, 4(6), 1832-1843. Search in Google Scholar

[16] El Khediri, S., Thaljaoui, A., Dallali, A., & KACHOURI, A. (2018, December). Clustering algorithm in wireless sensor networks based on shortest path. In 2018 30th International conference on microelectronics (ICM) (pp. 335-338). IEEE. Search in Google Scholar

[17] Dhote, K., & Asutkar, G. M. (2017, March). Optimization of routing techniques in wireless sensor network using queue management. In 2017 Devices for Integrated Circuit (DevIC) (pp. 500-504). IEEE. Search in Google Scholar

[18] Verma, P., Shaw, S., Mohanty, K., Richa, P., Sah, R., & Mukherjee, A. (2018, February). A survey on hierarchical based routing protocols for wireless sensor network. In 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT) (pp. 338-341). IEEE. Search in Google Scholar

[19] Xu, C., Xiong, Z., Zhao, G., & Yu, S. (2019). An energy-efficient region source routing protocol for lifetime maximization in WSN. IEEE Access, 7, 135277-135289. Search in Google Scholar

[20] Ahmad, N., Hussain, A., Ullah, I., & Zaidi, B. H. (2019, March). IOT based wireless sensor network for precision agriculture. In 2019 7th International electrical engineering congress (Ieecon) (pp. 1-4). IEEE. Search in Google Scholar

[21] Wu, Y., Chen, J., Qian, L. P., Huang, J., & Shen, X. S. (2016). Energy-aware cooperative traffic offloading via device-to-device cooperations: An analytical approach. IEEE Transactions on Mobile Computing, 16(1), 97-114. Search in Google Scholar

[22] Wang, L., Hu, F., Ling, Z., & Wang, B. (2017). Wireless information and power transfer to maximize information throughput in WBAN. IEEE Internet of things journal, 4(5), 1663-1670. Search in Google Scholar

[23] Yetgin, H., Cheung, K. T. K., El-Hajjar, M., & Hanzo, L. H. (2017). A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys & Tutorials, 19(2), 828-854. Search in Google Scholar

[24] Qiu, T., Zheng, K., Han, M., Chen, C. P., & Xu, M. (2017). A data-emergency-aware scheduling scheme for Internet of Things in smart cities. IEEE Transactions on Industrial Informatics, 14(5), 2042-2051. Search in Google Scholar

[25] Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2019, November). Blockchain leveraged task migration in body area sensor networks. In 2019 25th Asia-Pacific Conference on Communications (APCC) (pp. 177-184). IEEE. Search in Google Scholar

[26] Imoize, A. L., Oyedare, T., Otuokere, M. E., & Shetty, S. (2018). Software intrusion detection evaluation system: a cost-based evaluation of intrusion detection capability. Communications and Network, 10(4). Search in Google Scholar

[27] Yan, Z., Mukherjee, A., Yang, L., Routray, S., & Palai, G. (2019). Energy-efficient node positioning in optical wireless sensor networks. Optik, 178, 461-466. Search in Google Scholar

[28] Yan, Z., Goswami, P., Mukherjee, A., Yang, L., Routray, S., & Palai, G. (2019). Low-energy PSO-based node positioning in optical wireless sensor networks. Optik, 181, 378-382. Search in Google Scholar

[29] Liu, T., Wang, X., & Zheng, L. (2017). A cooperative SWIPT scheme for wirelessly powered sensor networks. IEEE Transactions on Communications, 65(6), 2740-2752. Search in Google Scholar

[30] Gandino, F., Ferrero, R., & Rebaudengo, M. (2016). A key distribution scheme for mobile wireless sensor networks: $ q $-$ s $-composite. IEEE Transactions on Information Forensics and Security, 12(1), 34-47. Search in Google Scholar

[31] Imam, S. A., Singh, M. K., Sachan, V. K., Choudhary, A., & Zaidi, A. M. (2017, November). An energy-efficient data transmission scheme based on DSC-MIMO for wireless sensor network. In 2017 2nd IEEE International Conference on Integrated Circuits and Microsystems (ICICM) (pp. 309-312). IEEE. Search in Google Scholar

[32] Ogbebor, J. O., Imoize, A. L., & Atayero, A. A. A. (2020). Energy efficient design techniques in next-generation wireless communication networks: emerging trends and future directions. Wireless communications and mobile computing, 2020, 1-19. Search in Google Scholar

[33] Alamu, O., Gbenga-Ilori, A., Adelabu, M., Imoize, A., & Ladipo, O. (2020). Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook. Engineering Science and Technology, an International Journal, 23(6), 1308-1326. Search in Google Scholar

[34] Choudhari, E., Bodhe, K. D., & Mundada, S. M. (2017, February). Secure data aggregation in WSN using iterative filtering algorithm. In 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1-5). IEEE. Search in Google Scholar

[35] Liu, X., Jia, M., Zhang, X., & Lu, W. (2018). A novel multichannel Internet of Things based on dynamic spectrum sharing in 5G communication. IEEE Internet of Things Journal, 6(4), 5962-5970. Search in Google Scholar

[36] Kwan, J. C., & Fapojuwo, A. O. (2017). Radio frequency energy harvesting and data rate optimization in wireless information and power transfer sensor networks. IEEE Sensors Journal, 17(15), 4862-4874. Search in Google Scholar