Course : MRES.B.02.06 Special Control Schemes in Wireless Sensor Networks

Course code : REEE113

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

MRES.B.02.06  -  Dionisis Kandris

Course Description

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This course module is related with the study of  Wireless Sensor Networks (WSNs) which are considered to be among the most important domains of both Science and Technology, thanks to the ever growing number of their applications. 

Specifically, the course focuses on the methodologies that have been proposed in order to resolve the problems that mitigate the operation of WSNs.

For this reason, at first the appropriate theoretical background is established, regarding:

  • the structural and functional characteristics of wireless sensor nodes,
  • the structure and operation of WSNs,
  • the comparison of WSNs with conventional wired networks,
  • the usage and applications of WSNs,
  • the weaknesses and problems of WSNs, and
  • the implementation and simulation platforms that are used for WSNs.

Next, the course concentrates on the  healing schemes that have been proposed for WSNs such as :

  • schemes for energy sustainability,
  • algorithms for coverage maximization,
  • connectivity maintenance protocols, 
  • protocols for congestion avoidance or/and congestion control,
  • methodologies for the maximization of the Quality of Service,
  • security maintenance methodologies,
  • multi-objective optimization algorithms, and
  • special control schemes for Wireless Multimedia Sensor Networks, Mobile WSNs, Underwater WSNs, Underground WSNs and Aerial WSNs

 

  • Course Objectives/Goals

    Upon successful completion of the course, students are expected to be able to:
    1. Describe the basic structure and operation of wireless sensor nodes.
    2. Explain both the architecture and the operation of a typical WSN
    3. Identify the features of WSNs that differentiate them from conventional wired networks.
    4. Understand the advantages of WSNs.
    5. Distinguish the numerous applications of WSNs.
    6. Realize the interconnection that exists between WSNs and Internet of Things.
    7. Comprehend the various problems and weaknesses that obstruct the operation of WSNs.
    8. Have knowledge of the platforms that are used in order to implement and simulate WSNs for research purposes.
    9. Recognize the hardware-based and software-based mechanisms that may be used in order to prolong the lifetime of WSNs.
    10. Get familiar to some of the algorithms that are used for coverage and k-coverage maximization in WSNs.
    11. Learn how connectivity of sensor nodes in WSNs can be maintained.
    12. Differentiate the way of operation of congestion avoidance schemes and congestion control schemes in WSNs.
    13. Understand the necessity of the Quality of Service maximization in WSNs and how this may be accomplished.
    14. Identify the mechanisms that may be used to strengthen the security in WSNs.
    15. Comprehend how multi-objective optimization can be accomplished in WSNs.
    16. Be aware of special control issues that exist in specific categories of WSNs.
     

    Prerequisites/Prior Knowledge

    An undergraduate course on Wireless Networks would be useful.

    Assessment Methods

    Student evaluation comes from
    • Average Grade of Homework Assignments (50%)
    • Final written examination  (50%)
     

    Bibliography

    • Fahmy, H. M. A. (2020). Wireless sensor networks. Springer International Publishing.
    • Chai, S., Wang, Z., Zhang, B., Cui, L., & Chai, R. (2020). Wireless sensor networks. Springer.
    • Wu, W., Zhang, Z., Lee, W., & Du, D. (2020). Optimal coverage in wireless sensor networks. Heidelberg: Springer.
    • Cui, L., & Xie, X. (2019). Wireless sensor networks, Springer.
    • 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.
     

    Additional info

    RELEVANT RESEARCH ARTICLES
    • Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer networks, 38(4), 393-422.
    • 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.
    • 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.
    • Nakas, C., Kandris, D., & Visvardis, G. (2020). Energy efficient routing in wireless sensor networks: A comprehensive survey. Algorithms, 13(3), 72.
    • Temene, N., Sergiou, C., Georgiou, C., & Vassiliou, V. (2022). A survey on mobility in Wireless Sensor Networks. Ad Hoc Networks, 125, 102726.
    • 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.
    • 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.
    • 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.
    • 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.

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