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Article . 2024
License: CC BY
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Wireless communication using shortest job first scheduling algorithm for temporary network

Authors: K. Thamizhmaran;

Wireless communication using shortest job first scheduling algorithm for temporary network

Abstract

Recent researchers are interested in the field of Wireless Sensor Network (WSN) due to the challenges posed by communication via the air medium. These challenges include difficulties arising from the use of the same carrier channel for all communications, making the network vulnerable to security threats such as malicious attacks, misbehavior attacks, grey hole attacks, block hole attacks, etc. In traditional path-based approaches, it is not easy to identify and overcome these drawbacks. To address this, we propose and implement a scheduling algorithm called "shortest first job" with the assistance of infrastructure-less networks. This leading algorithm effectively mitigates the aforementioned security issues in wireless sensor networks by determining the most cost-effective and distance-optimal path between sender and receiver, simulated using NS2.

Keywords

Network, sensor, security, attacks, path

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average