Delay-aware heterogeneous cluster-based data acquisition in Internet of Things. (January 2018)

• Record Type: Journal Article
• Authors: Ramachandran, Nandhakumar; Perumal, Varalakshmi
• Is Part Of: Computers & electrical engineering. Volume 65(2018)
• Page Start: 44
• Page End: 58
• Publication Date: 2018-01
• Subjects: Multifarious sensor cluster -- Intra-quartile aggregation -- IoT -- Delay-aware networks; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.03.018
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: 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.