S. Ceca Mijatovic , Shahram Sarkani and Thomas Mazzuchi , The George Washington University, Washington D.C., USA

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 properties such as one distance-to-neighbor, one distance-to-cluster, and three-axis coordinates can be exploited for energy efficient optimization. Leveraging a network optimization model created in AMPL 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, and therefore, enhances WSNs reliability by reducing total network energy consumption. 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.

Wireless Sensor Network, Hexagonal topology, Cluster, Optimization, Network lifetime