A Conceptual Model for E-Participation by Omani Citizens using Blockchain Technology
Keywords:
E-participation, blockchain, conceptual model, satisfactionAbstract
The expansion of effective state-society participatory channels at the national and local levels has proven a challenge in the Sultanate of Oman since the 1980s. In this regard, the rapid emergence of technological disruptors raises opportunities for new forms of political participation. The central concept of e-participation involves Information and Communication Technology (ICT) being deployed to facilitate citizen engagement with government and policymaking. E-participation systems provide possible solutions for the physical, logistical and perception barriers to enhance participation rates. However, electronic systems, reliant on centralized servers, have limitations in terms of satisfying cybersecurity, transparency and trust concerns. Blockchain technology can remedy this problem via its decentralised, immutable and incorruptible nature. The objective of the proposed research is to design a new Blockchain model that can provide innovative e-participation solutions, contribute to the global academic and applied literature on e-participation, address the questions of user satisfaction, and position the sultanate as a leader in this critical area. The proposed model will be mutually beneficial to the government sector and the citizens of Oman.
References
Wang, K., Qi, X., Shu, L., Deng, D. J., & Rodrigues, J. J. (2016). Toward trustworthy crowdsourcing in the social internet of things. IEEE Wireless Communications, 23(5), 30-36. 2. Allahbakhsh, M., Benatallah, B., Ignjatovic, A., Motahari-Nezhad, H. R., Bertino, E., & Dustdar, S. (2013). Quality control in crowdsourcing systems: Issues and directions. IEEE Internet Computing, 17(2), 76-81. 3. Wang, K., Zhuo, L., Shao, Y., Yue, D., & Tsang, K. F. (2016). Toward distributed data processing on intelligent leak-points prediction in petrochemical industries. IEEE Transactions on Industrial Informatics, 12(6), 2091-2102. 4. Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2008). Efficient routing in intermittently connected mobile networks: The single-copy case, ACM. IEEE Transactions on Networking. 5. Feng, Z., & Chin, K. W. (2012). A unified study of epidemic routing protocols and their enhancements. In 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (pp. 1484-1493). IEEE. 6. Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2005, August). Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking (pp. 252-259). 7. Hansen, P., Mladenović, N., & Pérez, J. A. M. (2008). Variable neighbourhood search: methods and applications. 4OR, 6(4), 319-360. 8. Wang, K., Shao, Y., Shu, L., Han, G., & Zhu, C. (2015). LDPA: A local data processing architecture in ambient assisted living communications. IEEE Communications Magazine, 53(1), 56-63. 9. Wang, K., Shao, Y., Shu, L., Zhu, C., & Zhang, Y. (2016). Mobile big data fault-tolerant processing for ehealth networks. IEEE Network, 30(1), 36-42. 10. Wang, K., Mi, J., Xu, C., Zhu, Q., Shu, L., & Deng, D. J. (2016). Real-time load reduction in multimedia big data for mobile Internet. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 12(5s), 1-20. 11. Hentschel, U., Schmidt, A., & Polze, A. (2011, March). Predictable communication for mobile systems. In 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (pp. 24-28). IEEE. 12. Cherkaoui, E. H., & Agoulmine, N. (2014, October). Context-aware mobility management with WiFi/3G offloading for ehealth WBANs. In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom) (pp. 472-476). IEEE. 13. Nelson, S. C., Bakht, M., & Kravets, R. (2009, April). Encounter-based routing in DTNs. In IEEE INFOCOM 2009 (pp. 846-854). IEEE.
WASSN 2018 10 of 10
Dang, H., & Wu, H. (2010). Clustering and cluster-based routing protocol for delay-tolerant mobile networks. IEEE Transactions on Wireless Communications, 9(6), 1874-1881. 15. Elwhishi, A., Ho, P. H., Naik, K., & Shihada, B. (2012). A novel message scheduling framework for delay tolerant networks routing. ieee transactions on parallel and distributed systems, 24(5), 871-880. 16. Wu, J., & Wang, Y. (2012, March). Social feature-based multi-path routing in delay tolerant networks. In 2012 Proceedings IEEE INFOCOM (pp. 1368-1376). IEEE. 17. Tournoux, P. U., Leguay, J., Benbadis, F., Whitbeck, J., Conan, V., & De Amorim, M. D. (2010). Density-aware routing in highly dynamic DTNs: The rollernet case. IEEE Transactions on Mobile Computing, 10(12), 1755-1768. 18. Wang, Y., Wu, J., & Yang, W. S. (2013). Cloud-based multicasting with feedback in mobile social networks. IEEE Transactions on Wireless Communications, 12(12), 6043-6053. 19. Patel, V. G., Oza, T. K., & Gohil, D. M. (2013). Vibrant energy aware spray and wait routing in delay tolerant network. Journal of Telematics and Informatics, 1(1), 43-47. 20. Jones, E. P., Li, L., Schmidtke, J. K., & Ward, P. A. (2007). Practical routing in delay-tolerant networks. IEEE Transactions on Mobile Computing, 6(8), 943-959. 21. Liu, J., Tang, M., & Yu, G. (2012, August). Adaptive spray and wait routing based on relay-probability of node in DTN. In 2012 International Conference on Computer Science and Service System (pp. 1138-1141). IEEE. 22. Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2007, March). Spray and focus: Efficient mobility-assisted routing for heterogeneous and correlated mobility. In Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07) (pp. 79-85). IEEE. 23. Medjiah, S., Taleb, T., & Ahmed, T. (2014). Sailing over data mules in delay-tolerant networks. IEEE Transactions on Wireless Communications, 13(1), 5-13. 24. Kishore, N., Jain, S., & Soares, V. N. (2013, July). An empirical review on the spray and wait based algorithms for controlled replication forwarding in delay tolerant networks. In 2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN) (pp. 1-5). IEEE. 25. Zheng, E., & Luo, Q. X. (2012). Spray and wait routing based on ACK-mechanism in disruption tolerant networks. Jisuanji Yingyong/ Journal of Computer Applications, 32(2), 367-369. 26. Guvenir, H. A., Acar, B., & Muderrisoglu, H. (1998). Arrhythmia data set in UCI machine learning repository. UC Irvine. 27. Shao, Y., Wang, K., Shu, L., Deng, S., & Deng, D. J. (2016). Heuristic optimization for reliable data congestion analytics in crowdsourced eHealth networks. IEEE Access, 4, 9174-9183
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