CHSEO: An Energy Optimization Approach for Communication in the Internet of Things
Parimala Venkata Krishna, Mohammad S. Obaidat, Dega Nagaraju, Vankadara Saritha · 2017
The Internet of Things (IoT) is an emerging platform which bridges the real world and cyber world though communication. Any object or thing in the real world are connected and communicated with the user through the IoT. The major research issue involved in the IoT is energy consumption. Many wireless sensor network algorithms are proposed to optimize energy and those are not suitable for the IoT. The architecture of IoT is different from the traditional WSNs. To achieve the energy efficient mechanism, this paper proposed a hierarchical framework for IoT communications. An energy model is developed for each node and associated roles are assigned based on the services. Cluster head selection for energy optimization (CHSEO) algorithm was proposed for electing the optimal cluster head with in the available nodes to reduce the overall network energy. The efficiency of the CHSEO algorithm is tested with different conditions and it is proved that the CHSEO algorithm performs well when compared to the traditions WSN mechanism.