Abstract
Wireless Sensor Networks (WSN) includes numerous sensor nodes that are connected to each other through the use of wireless short distance links. The transfer of data between the individual nodes is found to be energy-constrained and the energy-efficient protocol in WSNs is a huge requirement. In addition, the deployment of large numbers of sensor nodes increases the size of the network, which in turn increases the energy consumption rate. An efficient protocol is developed in this research that includes grid-based mobile communication network formation, efficient path selection through cluster head selection and data communication. In addition, multi-stage authentication is implemented to provide security from source node to destination node for the transfer of data. Implementation is performed via NS2-based platform and the result obtained shows that the proposed system outperforms other existing techniques in terms of packet delivery and use of energy through network lifetime.
Highlights
Advances in miniaturized electromechanical frameworks have facilitated the improvement of embedded sensors with small, minimal effort, low control and multifunctional property, which are suitable for performing numerous tasks such as detection, data collection and pre-processing, and communication via intermediate devices [1]
NS2based simulation platform is considered for analysis and the study results show that improved network lifetime is achieved from the developed technique along with increased lifetime and packet delivery ratio
A data replication mechanism is implemented among Cluster Head (CH) of separate clusters and the last one deals with data communication through the path created by the suggested Authentication-based Secure Routing Clustering (ASRC) routing
Summary
Advances in miniaturized electromechanical frameworks have facilitated the improvement of embedded sensors with small, minimal effort, low control and multifunctional property, which are suitable for performing numerous tasks such as detection, data collection and pre-processing, and communication via intermediate devices [1]. There is no requirement for predetermination or engineering to select places that are considered for WSN deployment [2] This enables sensor nodes to be deployed randomly with inaccessible terrains or during disaster relief operations communication requirements. This infers a requirement for effective network protocols and the deployment of organizational skills based on self-intelligence. Another distinctive feature of the wireless sensor network is its property of collaborative approach between sensor nodes, where it is deployed to perform several specific tasks, such as data aggregation and fusion, identification and measuring techniques [3]. Information is collected from each sensor to create an essential outcome of the database of information [4]
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