Open AccessEfficient Mobile Sink Path Scheduling for Clustered based Wireless Sensor Network
Author(s) -
Naveen Ghorpade,
P. Vijaykarthik
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1022/1/012084
Subject(s) - wireless sensor network , computer science , scalability , computer network , rendezvous , energy consumption , scheduling (production processes) , distributed computing , key distribution in wireless sensor networks , latency (audio) , real time computing , efficient energy use , wireless , wireless network , engineering , telecommunications , operations management , electrical engineering , database , spacecraft , aerospace engineering
WSN (Wireless Sensor Network) has found wide range of adoption in different sector and it is primary component of much real time application such as IoT, Big Data etc. Meanwhile modern application needs scalable real time data access and low latency since they are heterogeneous; however achieving the low latency for real time data causes the energy overhead in sensor device. Moreover, two technique i.e. clustering technique and Mobile sink helps in achieving the scalability and reducing the energy consumption in sensor device, further this causes the energy overhead in rendezvous node and CH (Cluster Head). In order to address this issue several optimization technique were presented for selection of rendezvous node and optimal cluster, the main drawbacks of these techniques are that they are applicable only for the homogeneous network. Hence, to overcome this issue, this research work presents technique EMSPS (Efficient Mobile Sink Path scheduling) technique for heterogeneous WSN, this technique is cluster based. Furthermore, EMSPS introduces the multiple-objective function such as network traffic for CH and rendezvous node selection, coverage time, radio selection strength, connection time and connectivity. EMSPS is evaluated considering the various parameter such as loss of connectivity, first node death, total node death and network lifetime, further comparison has been done with the state-of-art technique by considering the above parameters. Nevertheless, EMSPS provides the satisfactory trade-off between the energy and latency requirement.