396
A. Kumar and S. Sharma
2. Serrano, M., Barnaghi, P., Cousin, P.: Semantic interoperability: research challenges, best
practices, solutions, and next steps, IERC AC4 manifesto. European Research Cluster on the
Internet of Things, AC4, Tech. Rep. (2014)
3. Serrano, M., Barnaghi, P., Carrez, F., Cousin, P., Vermesan, O., Friess, P.: Internet of Things
IoT semantic interoperability: research challenges, best practices, recommendations, and next
steps. European Research Cluster on the Internet of Things, AC4, Tech. Rep. (2015)
4. Kumar, A., Salau, A.O., Gupta, S., Paliwal, K.: Recent trends in IoT and its requisition with IoT
built engineering: a review. In: Advances in Signal Processing and Communication, pp. 15–25.
Springer, Singapore (2019)
5. Rana, A.K., Sharma, S.: Enhanced energy-efficient heterogeneous routing protocols in WSNs
for IoT application. IJEAT 9(1), 4418–4415 (2019)
6. Kumar, K., Gupta, S., Rana, A.: Wireless sensor networks: a review on “Challenges and
opportunities for the future world-LTE”. Amity J. Comput. Sci. (AJCS) 1(2) (2018). ISSN:
2456-6616
7. Rana, A.K., Krishna, R., Dhwan, S., Sharma, S., Gupta, R.: Review on artificial intelligence
with Internet of Things-problems, challenges and opportunities. In: 2019 2nd International
Conference on Power Energy, Environment and Intelligent Control (PEEIC), pp. 383–387.
IEEE, October 2019. https://doi.org/10.1109/peeic47157.2019.8976588
8. Muralidharan, S., Yoo, B., Ko, H.: Designing a semantic digital twin model for IoT. In: 2020
IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, pp. 1–2
(2020). https://doi.org/10.1109/icce46568.2020.9043088
9. Khan, M.N., Naseer, F.: IoT based university garbage monitoring system for healthy environment for students. In: 2020 IEEE 14th International Conference on Semantic Computing
(ICSC), San Diego, CA, USA, pp. 354–358 (2020). https://doi.org/10.1109/icsc.2020.00071
10. Guo, C., Jia, J., Jie, Y., Liu, C.Z., Choo, K.R.: Enabling secure cross-modal retrieval over
encrypted heterogeneous IoT databases with collective matrix factorization. IEEE Internet
Things J. 7(4), 3104–3113 (2020). https://doi.org/10.1109/JIOT.2020.2964412
11. Hu, L., Wu, G., Xing, Y., Wang, F.: Things2Vec: semantic modeling in the internet of things
with graph representation learning. IEEE Internet Things J. 7(3), 1939–1948 (2020). https://
doi.org/10.1109/JIOT.2019.2962630
12. Li, Q., Cao, Z., Tanveer, M., Pandey, H.M., Wang, C.: A semantic collaboration method based
on uniform knowledge graph. IEEE Internet Things J. 7(5), 4473–4484 (2020). https://doi.org/
10.1109/JIOT.2019.2960150
13. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build Semantic Web of Things applications. In: 4th International
Conference on Future Internet of Things and Cloud (FiCloud). IEEE (2016)
14. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for Internet of Things with LOV4IoT. In: 4th International Conference
on Future Internet of Things and Cloud (FiCloud). IEEE (2016)
15. Branagh, P., Wang, W., Henson, C., Taylor, K.: Semantics for the Internet of Things: early
progress and back to the future. Int. J. Sem. Web Inf. Syst. (IJSWIS) 8, 1–21 (2016)
16. Skillen, K.L., Chen, L., Nugent, C.D., Donnelly, M.P., Burns, W., Solheim, I.: Ontological user
modeling and semantic rule-based reasoning for personalization of Help-On-Demand services
in pervasive environments (2017)
17. Whitmore, A., Agarwal, A., Da Xu, L.: The internet of things—a survey of topics and trends.
Inf. Syst. Front. 17(2), 261–274 (2015)
18. Rana, A.K., Sharma, S.: Industry 4.0 manufacturing based on IoT, cloud computing, and big
data: manufacturing purpose scenario. In: Advances in Communication and Computational
Technology, pp. 1109–1119. Springer, Singapore (2021)
19. Hellerstein, J.M., Hong, W., Madden, S.R.: The sensor spectrum: technology, trends, and
requirements. SIGMOD Rec. 32(4), 22–27 (2003)
20. Yaqoob, I., Ahmed, E., Hashem, I.A.T., et al.: Internet of things architecture: recent advances,
taxonomy, requirements, and open challenges. IEEE Wirel. Commun. Mag. 24(3), 10–16
(2017)
A. Kumar and S. Sharma
2. Serrano, M., Barnaghi, P., Cousin, P.: Semantic interoperability: research challenges, best
practices, solutions, and next steps, IERC AC4 manifesto. European Research Cluster on the
Internet of Things, AC4, Tech. Rep. (2014)
3. Serrano, M., Barnaghi, P., Carrez, F., Cousin, P., Vermesan, O., Friess, P.: Internet of Things
IoT semantic interoperability: research challenges, best practices, recommendations, and next
steps. European Research Cluster on the Internet of Things, AC4, Tech. Rep. (2015)
4. Kumar, A., Salau, A.O., Gupta, S., Paliwal, K.: Recent trends in IoT and its requisition with IoT
built engineering: a review. In: Advances in Signal Processing and Communication, pp. 15–25.
Springer, Singapore (2019)
5. Rana, A.K., Sharma, S.: Enhanced energy-efficient heterogeneous routing protocols in WSNs
for IoT application. IJEAT 9(1), 4418–4415 (2019)
6. Kumar, K., Gupta, S., Rana, A.: Wireless sensor networks: a review on “Challenges and
opportunities for the future world-LTE”. Amity J. Comput. Sci. (AJCS) 1(2) (2018). ISSN:
2456-6616
7. Rana, A.K., Krishna, R., Dhwan, S., Sharma, S., Gupta, R.: Review on artificial intelligence
with Internet of Things-problems, challenges and opportunities. In: 2019 2nd International
Conference on Power Energy, Environment and Intelligent Control (PEEIC), pp. 383–387.
IEEE, October 2019. https://doi.org/10.1109/peeic47157.2019.8976588
8. Muralidharan, S., Yoo, B., Ko, H.: Designing a semantic digital twin model for IoT. In: 2020
IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, pp. 1–2
(2020). https://doi.org/10.1109/icce46568.2020.9043088
9. Khan, M.N., Naseer, F.: IoT based university garbage monitoring system for healthy environment for students. In: 2020 IEEE 14th International Conference on Semantic Computing
(ICSC), San Diego, CA, USA, pp. 354–358 (2020). https://doi.org/10.1109/icsc.2020.00071
10. Guo, C., Jia, J., Jie, Y., Liu, C.Z., Choo, K.R.: Enabling secure cross-modal retrieval over
encrypted heterogeneous IoT databases with collective matrix factorization. IEEE Internet
Things J. 7(4), 3104–3113 (2020). https://doi.org/10.1109/JIOT.2020.2964412
11. Hu, L., Wu, G., Xing, Y., Wang, F.: Things2Vec: semantic modeling in the internet of things
with graph representation learning. IEEE Internet Things J. 7(3), 1939–1948 (2020). https://
doi.org/10.1109/JIOT.2019.2962630
12. Li, Q., Cao, Z., Tanveer, M., Pandey, H.M., Wang, C.: A semantic collaboration method based
on uniform knowledge graph. IEEE Internet Things J. 7(5), 4473–4484 (2020). https://doi.org/
10.1109/JIOT.2019.2960150
13. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build Semantic Web of Things applications. In: 4th International
Conference on Future Internet of Things and Cloud (FiCloud). IEEE (2016)
14. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for Internet of Things with LOV4IoT. In: 4th International Conference
on Future Internet of Things and Cloud (FiCloud). IEEE (2016)
15. Branagh, P., Wang, W., Henson, C., Taylor, K.: Semantics for the Internet of Things: early
progress and back to the future. Int. J. Sem. Web Inf. Syst. (IJSWIS) 8, 1–21 (2016)
16. Skillen, K.L., Chen, L., Nugent, C.D., Donnelly, M.P., Burns, W., Solheim, I.: Ontological user
modeling and semantic rule-based reasoning for personalization of Help-On-Demand services
in pervasive environments (2017)
17. Whitmore, A., Agarwal, A., Da Xu, L.: The internet of things—a survey of topics and trends.
Inf. Syst. Front. 17(2), 261–274 (2015)
18. Rana, A.K., Sharma, S.: Industry 4.0 manufacturing based on IoT, cloud computing, and big
data: manufacturing purpose scenario. In: Advances in Communication and Computational
Technology, pp. 1109–1119. Springer, Singapore (2021)
19. Hellerstein, J.M., Hong, W., Madden, S.R.: The sensor spectrum: technology, trends, and
requirements. SIGMOD Rec. 32(4), 22–27 (2003)
20. Yaqoob, I., Ahmed, E., Hashem, I.A.T., et al.: Internet of things architecture: recent advances,
taxonomy, requirements, and open challenges. IEEE Wirel. Commun. Mag. 24(3), 10–16
(2017)