MS Computer Science & Information Systems

Antenna

Advanced Study: Wireless Sensor Networks

As part of the degree requirements, students complete a research project or theses in an area of interest to them. This enhances their expertise in an area.

Wireless sensor networks (WSN), sometimes called wireless sensor and actuator networks (WSAN), [1][2] are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. [3]

A special form of coverage, barrier-coverage in wireless sensor networks (WSN) has been studied by many researchers because it can be used for important applications such as intrusion detection and border surveillance, etc. A subset of nodes in the given area is able to form a barrier over the area of interest if the sensor nodes divide the region into two areas such that any moving objects from one side to another can be detected by at least one sensor. It is evitable to design a new type of barriers as well as to maximize the lifetime of the barriers.

Expert Faculty

Students who want to specialize in WSN can study independently with faculty who actively research and publish in the field, and who also have significant hands-on knowledge of WSN. Several research topics in this area include: Algorithm desing and performance analysis of transmission range and movement, reinforced barrier construction, event-driven barrier construction.

  • Dr. Hyunbum Kim, Assistant Professor of Computer Science
    • Hyunbum Kim and Jorge A. Cobb, "Optimization Algorithms for Transmission Range and Actor Movement in Wireless Sensor and Actor Networks," Elsevier Computer Networks, 2015.
    • Donghyun Kim, Hyunbum Kim, Deying Li, Sung-Sik Kwon, Alade O. Tokuta and Jorge A. Cobb, "Maximum Lifetime Dependable Barrier-coverage in Wireless Sensor Networks," Elsevier AD Hoc Networks, 2016.
    • Hyunbum Kim and Jalel Ben-Othman, "On Resilient Event-driven Partial Barriers in Mobile Sensor Networks," Proceedings of the IEEE International Confrence on Communications (ICC), 2016.
    • Hyunbum Kim, Junggab Son, Hyung Jae Chang and Heekuck Oh, "Event-driven Partial Barriers in Wireless Sensor Networks," Proceedings of the IEEE International Conference on Computing, Networking and Communications (ICNC), 2016.
    • Hyunbum Kim and Jorge A. Cobb, "Maximum Lifetime Reinforced Barrier-coverage in Wireless Sensor Networks," Proceedings of the IEEE International Conference on Networks (ICON), 2013.
    • Hyunbum Kim and Jorge A. Cobb, "Optimization Trade-offs in the Design of Wireless Sensor and Actor Networks," Proceedings of the IEEE Conference on Local Computer Networks (LCN), 2012.
    • Hyunbum Kim and Jorge A. Cobb, "Simultaneous Optimization of Transmission Range and Actor Movement in WSANs," Proceedings of IEEE International Conference on Computing, Networking and Communications (ICNC), 2012.
    • Hyunbum Kim and Jorge A. Cobb, "Optimal Transmission Range for Multi-hop Communication in Wireless Sensor and Actor Networks," Proceedings of the 36th IEEE Conference on Local Computer Networks (LCN), 2011.
    • Hyunbum Kim and Jorge A. Cobb, "Optimal Transmission Range and Actor Movement in Wireless Sensor and Actor Networks," Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 2011

References

  1. A Survey on Centralised and Distributed Clustering Routing Algorithms for WSNs. IEEE 81st Vehicular Technology Conference. Glasgow, Scotland: IEEE. Spring 2015. doi:10.1109/VTCSpring.2015.7145650. Retrieved March 4, 2016.
  2. I. F. Akyildiz and I.H. Kasimoglu (2004). "Wireless Sensor and Actor Networks: Research Challenges". Ad Hoc Networks. 2 (4): 351–367. doi:10.1016/j.adhoc.2004.04.003.
  3. Wikipedia, Wireless sensor network. (visited September 2, 2016).