Tarih:
Başlangıç Zamanı: Starting Time 01:00 pm ~ 02:00 pm
Konum: D228
Abstract: Coverage and Connectivity-based Lifetime Maximization with Topology Update for WSN in Smart Grid Applications
WSNs have become the key technology for many “smart” applications (Smart Grids, IoT, etc.) in recent years thanks to the technological advancement of sensor nodes. A WSN consists of battery-powered autonomous sensors each of which monitors the physical and environmental conditions within its coverage area and sends the relevant data on direct or multihop paths to a Base Station (BS). A sensor might lose its functionality due to battery depletion, technical failures, external malicious interventions, etc. If some sensors become dysfunctional, then network availability and performance in terms of data transmission and target area detection might be worsened. Therefore, using the limited energy of sensors efficiently is important for extending the functional life of the overall network, i.e., the network lifetime. Consequently, it is needed to design energy-efficient communication protocols to achieve a long network lifetime while maintaining the desired coverage level. In this talk, first a novel 0–1 MIP model will be presented which considers the case where the transmission paths are re-adapted to topology changes as long as the required coverage level and connectivity to the base station can be maintained with the current set of sensors. Then two alternative 0–1 MIP models optimizing the network behavior in unit time decomposition with an emphasis on energy consumption, will be discussed.
Bio of the Speaker
Dr. Elif Zeynep Serper has obtained her Ph.D., MS, and BS degrees in Industrial Engineering from TOBB University of Economics and Technology in 2022, 2014 and 2011, respectively. During the MS and Ph.D. years she worked as a teaching assistant in the same department. Also, she served the department as the coordinator assistant of graduation projects for seven years. Her researches are about network design, Wireless Sensor Networks (WSNs), hub networks, logistics optimization, and mathematical programming.