Dynamic Optimization-based Clustering in Hexagonal Topology for Enhancing Network Lifetime of Wireless Sensor Networks

Distribution of Internet-of-Things sensors in wireless sensor networks (WSNs) often leads to transmission conflicts and inefficiency of energy utilization, resulting in decreased sensor communication and incomplete data for decision making. Utilizing hexagonal topology and its unique properties such as one distance-to-neighbor, one distance-to-cluster, and three axis coordinates can be exploited for time and energy efficient optimization. Leveraging a network optimization model created in AMPL along with network simulation created in Contiki-NG Cooja, this research demonstrates that WSNs with hexagonal network topology can benefit from clustering which improves network lifetime. Additionally, dynamic clustering further improves network lifetime for the WSN where the cluster member hopping energy cost and cluster head transmission energy cost ratio is 33.5% or less. Furthermore, this research shows that clustering is beneficial even if a network with hexagonal topology is presented with obstacles during its deployment or experiencing temporary obstacles throughout its use.

Author

• Mijatovic, Svetlana Ceca

Language

• en

Keyword

• Wireless Sensor Network (WSN)
• Network lifetime
• Energy efficiency
• Cluster
• Hexagonal topology
• Optimization

Date created

• 2026

Type of Work

• Dissertation

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Systems Engineering

Degree

• Ph.D.

Advisor

• Mazzuchi, Thomas
• Sarkani, Shahram

Committee Member(s)

• Fossaceca, John
• Mazzuchi, Thomas
• Etemadi, Amir
• Sarkani, Shahram

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/r207tq388