Delay-aware heterogeneous cluster-based data acquisition in Internet of Things

作者：Ramachandran Nandhakumar^*; Perumal Varalakshmi

来源：Computers & Electrical Engineering, 2018, 65: 44-58.

DOI：10.1016/j.compeleceng.2017.03.018

• Multifarious sensor cluster
• Intra-quartile aggregation
• loT
• Delay-aware networks

The environmental conditions of a wildlife habitat are monitored using many heterogeneous sensors, including temperature, humidity, pressure, and water-level sensors. Sensor data are collected from various regions for knowledge retrieval about the various parameters to analyse the wildlife habitat and take necessary actions. The Delay-Aware Heterogeneous Cluster-based Data Acquisition (DA-HCDA) technique is proposed, which ensures maximum coverage. A multifarious Sensor-based Cluster Formation Algorithm (MSCFA) is used to from the cluster and elect the controllers to handle the different types of sensors. A multi-tier aggregation function called Quartile Aggregation is proposed, which eliminates the redundancy of aggregated data at the controller. Thus, the proposed DA-HCDA and Quartile Aggregation mechanism improve the network lifetime and end-to-end delay across the wildlife habitat reserve.

• 出版日期2018-1