Speaker: Dr. Ayşegül ALTIN KAYHAN, TOBB University
Title: Joint Convergecast and Broadcast Scheduling With Configuration Update For Energy Effiicent Wireless Sensor Networks
Date: 21 November 2025, Friday
Time: 13:30-14:30
Place: EA409
Abstract: Convergecast and broadcast communication constitute the core of reliable and energy-aware Wireless Sensor Network (WSN) operation. Although these many-to-one and one-to-many communication modes serve complementary roles in data collection, dissemination, and control, existing WSN configurations typically optimize them in isolation, leading to redundant transmissions, unbalanced energy depletion, and premature network failure. This paper presents the first integrated optimization framework that jointly determines convergecast and broadcast routing under multiple alternative configurations. We formulate a Mixed-Integer Programming model that allows nodes to act simultaneously in distinct functional roles across uplink and downlink traffic and supports flexible routing where upward and downward paths may diverge within each configuration. By decoupling these flows and enabling configuration alternation, the framework mitigates bottlenecks, balances load, and reduces collisions, thereby improving energy efficiency and prolonging network lifetime. We further examine the energy–configuration trade-off under joint optimization, analyze convergecast coverage requirements across deployment scenarios, and evaluate optimal solutions for both disc and grid topologies across wide parameter settings. Our results demonstrate that coordinated route design and flexible use of alternative subgraphs significantly enhance network longevity, scalability, and reliability compared with rigid, single-configuration approaches.
Short BIO:
Ayşegül ALTIN KAYHAN is a researcher in the field of wireless sensor networks, optimization, and network design. She completed her Ph.D. in Department of Industrial Engineering at İhsan Doğramacı Bilkent University, where she focused on robust network design under the supervision of Prof. Mustafa Ç. PINAR. Her current work explores optimization-based solutions for Wireless Sensor Networks, with a particular emphasis on improving performance and reliability in resource-constrained environments. She has published in leading journals and conferences in the areas of operations research and communication networks, and has contributed to several collaborative research projects.