Data Aggregation with multiple sinks in Information-Centric Wireless Sensor Network

Many studies have explored data aggregation in different network architectures. There are two critical methods in data aggregation: Directed Diffusion in flat networks, and Tree-Based Data Aggregation in hierarchical networks. However, each data aggregation method has problems in multiple-sink environments. In Directed Diffusion, even if one sink has already reinforced a high-quality path to the sink, other nodes continue to receive exploratory events. In Tree-based Data Aggregation with multiple sinks, high energy-transmission costs are needed to make a tree for each sink node. Both waste much energy-transmission costs. In this paper, we propose Data Aggregation with multiple sinks in an Information-Centric Wireless Sensor Network, which can complement the drawbacks of each data aggregation method. In an IP-based network, it overloads the sensor while considering the number of sensor nodes and data process capacity. We suggest an ID-based information-centric network instead of an IP-based network, which can reduce the energy-transmission cost. We analyzed the energy-transmission cost in a multiple-sink environment in comparison to Directed Diffusion, Tree-based Data Aggregation, and Data Aggregation in an Information-Centric Wireless Sensor Network.