Abstract
The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.
Highlights
Advances in wireless networking, device, and micro-electronic technology have allowed miniaturisation of relatively low-cost, multifunctional sensors
This paper proposed an effective mobile sink data collection model focused on clustered Wireless Sensor Network (WSN)
It is obvious from Fig. EMSDC and LEACH connectivity overhead dramatically improves as computers are rendered bigger
Summary
Device, and micro-electronic technology have allowed miniaturisation of relatively low-cost, multifunctional sensors. The clustering model is constructed considering the homogenous networks In this respect, routing strategies must consider the heterogeneity necessity of WSNs and their implementations (GAUS). Both these algorithms have low energy loss but cause latency In this way, Sink Mobile can be used in WSNs in a good manner. [23] proposed a routing algorithm for ad hoc wireless sensor networks In this scenario, the mobile sink gathers data from CH unit. This RP node is used as a rendezvous node for mobile sink to broadcast mobile information This would contribute to improved network efficiency including the reduction of routing duration, contact overhead, and packet transmission delay. The Contribution of research work is as follows: This paper proposed an effective mobile sink data collection model focused on clustered WSN. Final and potential work is defined in the last section
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
