Wireless Sensor Networks (WSNs) play an important role in today’s society in Internet of Things, automation, environmental monitoring etc. However, as these networks should be able to operate autonomously and for a long period of time without recharging, careful energy management is required. A central aspect of such networks is the energy budget for communication which has received much attention in recent years. To ensure network-wide coordination in WSNs and accurate synchronization to avoid costly communication collisions, today’s solutions are based on a common global leader. This leader orchestrates mandatory network-wide periodic communication rounds to distribute information with short latency. However, if the nodes have nothing to send or are irrelevant for successful communication, they must be active in every communication round. To avoid a periodic overhead and its incurring inefficiency, we propose a new event-triggered approach. We only synchronize locally with nodes that have detected an event, locally aggregate data and efficiently forward the combined data to the data sink. In this thesis we present the design for an event-triggered WSN, that uses the available energy more efficiently in situations with few events per hour than common WSN solutions while latencies are on average 1.41 lower. which makes more efficient use of the available energy in situations with a few events per hour than state-of-the-art solutions while achieving latencies that are lower by 1.41 on average. This design paves the way for further developments and deployments of new applications of event-triggered WSN
