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Modeling the effect of data aggregation on the performance of wireless sensor network using colored petri nets

The Wireless Sensor Networks (WSNs) is a self-controlled system that is formed of various sensor nodes work together to achieve certain service. There are many research challenges of a WSN such as energy consumption, network bandwidth allocation, and data aggregation at sensor nodes. Data aggregation is an interesting concept in energy constrained wireless sensor network due to its substantial effect on the Quality of service (QoS) provisioned by the network. The goal of applying data aggregation techniques is to gather and aggregate data in such a way to reflect improvement in the energy consumed by the overall network. In this paper we model the WSNs using the Colored Petri Nets in order to capture the effect of data aggregation on the overall performance. Colored Petri Nets is a well-structured tool to study discrete event systems that involve concurrency and asynchronous behaviors such the Wireless sensor network. The model involves the use of M/M/1 queuing to represent the sensor nodes. The proposed model performance is evaluated by demonstrating the effect of data aggregation on the network delay and the consumed power.