Improved sensor localization with intelligent trust model in heterogeneous wireless sensor network in Internet of Things (IoT) environment

Heterogeneous Wireless Sensor Network (HWSN) based Internet of Things (IoT) applications are highly trending. It also consists of serious challenges in improving the network longitivity and security regarding data processing and communication. In earlier research several algorithms and models were introduced to enhance the performance of HWSN network in various applications in terms of energy saving process. But still management of a huge number of devices in IoT is under an open research area. Still, it needs improvement in energy efficiency improvisation and device safety. To improve the overall performance of the HWSN network in IoT background the authors of this paper proposed an improved sensor localization with an intelligent trust model in HWSN (ISL-ITMH) network. The major categories of this proposed ISL-ITMH include data transmission process, energy consumption model, trust based communication among the devices in the network and threshold-based energy model. With these processes' presence, communication among each device in the network is effectively analyzed and monitored so that both the trust calculations and energy efficiency is maximum and that helps to attend maximum performance in data transmission in the HWSN network. The implementation of this concept is demonstrated in the software NS3 and certain parameters are measured for the result analysis: energy efficiency, packet delivery ratio, routing overhead, trust score, network throughput and end to end delay. From the result outcome, the proposed ISL-ITMH obtained results which increases the energy efficiency, throughput and data delivery rate throughout the entire iteration compared with the earlier baseline methodologies.