ABSTRACT
Energy efficiency is considered as a major design issue in wireless sensor network (WSN) assisted Internet of Things (IoT). Several IoT systems generate massive quantity of data, which is required to be reacted in a short time span. Since sensors are battery operated and higher amount of energy is needed to transmit data from IoT devices and cloud, energy-efficient clustering and data aggregation are needed to achieve energy efficiency and extend the operating time of the sensing devices. For resolving these issues, this chapter develops an energy-efficient fuzzy-based clustering and data aggregation protocol called FC-DR for WSN-assisted IoT system. The proposed FC-DR method operates on three major stages, namely, node clustering, data collection, and data aggregation. At the first level, the IoT sensor nodes perform FC-based clustering process to select cluster heads (CHs) and organize clusters. In the second level, the cluster members (CM) observe the environment and forward the data to the CH. Finally, in the third level, the CHs perform data aggregation using error-bounded lossy compression technique. This technique aggregates the data before sending it to the cloud server, which is treated as a maximum energy consumption stage among the IoT devices. The efficiency of the presented model has been examined under different aspects. The attained simulation results ensured the goodness of the FC-DR model in terms of several evaluation parameters.
