Structural and functional characteristics of wireless sensor nodes. Structural and functional characteristics of Wireless Sensor Networks (WSNs).  Comparison of WSNs with conventional wired networks. Usage and applications of WSNs. Problems of WSNs. Implementation and simulation platforms for WSNs.

Schemes for energy sustainability. Algorithms for coverage maximization. Connectivity maintenance protocols. Protocols for congestion avoidance and congestion control. Methodologies for the maximization of the Quality of Service. Security maintenance methodologies.

Multi-objective optimization algorithms in WSNS. Special control issues in Wireless Multimedia Sensor Networks, Mobile WSNs, Underwater WSNs, Underground WSNs and Aerial WSNs.

Upon successful completion of the course, students are expected to be able to:

• Describe the basic structure and operation of wireless sensor nodes.
• Explain both the architecture and the operation of a typical WSN
• Identify the features of WSNs that differentiate them from conventional wired networks.
• Understand the advantages of WSNs.
• Distinguish the numerous applications of WSNs.
• Realize the interconnection that exists between WSNs and Internet of Things.
• Comprehend the various problems and weaknesses that obstruct the operation of WSNs.
• Have knowledge of the platforms that are used in order to implement and simulate WSNs for research purposes.
• Recognize the hardware-based and software-based mechanisms that may be used in order to prolong the lifetime of WSNs.
• Get familiar to some of the algorithms that are used for coverage and k-coverage maximization in WSNs.
• Learn how connectivity of sensor nodes in WSNs can be maintained.
• Differentiate the way of operation of congestion avoidance schemes and congestion control schemes in WSNs.
• Understand the necessity of the Quality of Service maximization in WSNs and how this may be accomplished.
• Identify the mechanisms that may be used to strengthen the security in WSNs.
• Comprehend how multi-objective optimization can be accomplished in WSNs.
• Be aware of special control issues that exist in specific categories of WSNs.

No prerequisites apply in the strict sense; study of the material in this module, however, can be assisted by former knowledge on:

• Computer Networks
• Wireless Communications

Student evaluation comes from:

• Average Grade of Homework Assignments: 20% of final grade
• Final written examination: 80% of final grade

1. Fahmy, H. M. A. (2020). Wireless sensor networks. Springer International Publishing.
2. Chai, S., Wang, Z., Zhang, B., Cui, L., & Chai, R. (2020). Wireless sensor networks. Springer.
3. Wu, W., Zhang, Z., Lee, W., & Du, D. (2020). Optimal coverage in wireless sensor networks. Heidelberg: Springer.
4. Cui, L., & Xie, X. (2019). Wireless sensor networks, Springer.
5. Mishra, B. B., Dehuri, S., Panigrahi, B. K., Nayak, A. K., Mishra, B. S. P., & Das, H. (Eds.). (2019). Computational intelligence in sensor networks. Springer.

RESEARCH ARTICLES

1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer networks, 38(4), 393-422.
2. Kandris, D., Nakas, C., Vomvas, D., & Koulouras, G. (2020). Applications of wireless sensor networks: an up-to-date survey. Applied System Innovation, 3(1), 14.
3. Evangelakos, E. A., Kandris, D., Rountos, D., Tselikis, G., & Anastasiadis, E. (2022). Energy Sustainability in Wireless Sensor Networks: An Analytical Survey. Journal of Low Power Electronics and Applications, 12(4), 65.
4. Nakas, C., Kandris, D., & Visvardis, G. (2020). Energy efficient routing in wireless sensor networks: A comprehensive survey. Algorithms, 13(3), 72.
5. Temene, N., Sergiou, C., Georgiou, C., & Vassiliou, V. (2022). A survey on mobility in Wireless Sensor Networks. Ad Hoc Networks, 125, 102726.
6. Tarnaris, K., Preka, I., Kandris, D., & Alexandridis, A. (2020). Coverage and k-coverage optimization in wireless sensor networks using computational intelligence methods: a comparative study. Electronics, 9(4), 675.
7. Farsi, M., Elhosseini, M. A., Badawy, M., Ali, H. A., & Eldin, H. Z. (2019). Deployment techniques in wireless sensor networks, coverage and connectivity: A survey. IEEE Access, 7, 28940-28954.
8. Elhabyan, R., Shi, W., & St-Hilaire, M. (2019). Coverage protocols for wireless sensor networks: Review and future directions. Journal of Communications and Networks, 21(1), 45-60.
9. Kandris, D., Alexandridis, A., Dagiuklas, T., Panaousis, E., & Vergados, D. D. (2020). Multiobjective optimization algorithms for wireless sensor networks. Wireless Communications and Mobile Computing, 2020, 1-5.

instructor(s) : Dionisios-Xenofon KANDRIS

MRES.B.02.06 – Special Control Schemes in Wireless Sensor Networks