Analysis of Decision Fusion Detection in Wireless Sensor Network
Main Article Content
Abstract
The emerging technology of embedded system and internet of things crack great potential of the wireless sensor network. The deployment and feasibility of wireless sensor network applied underdisciplined process of the task. The major issue of sensor node deployment is an energy factor. The life of energy depends on the strength of signals during transmission and sensing of the sensor node. The major factor to impact the sensor node's life is a distance of target node, signal attenuation and model of propagation model. The continuous efforts of various authors proposed various models and system level algorithms for the efficient utilization of energy in a large number of sensor node deployment cases in case of random and knew sensor node environments. This paper presents the analysis of distributed detection of energy based on decision fusion factor based on different constraints function. Most algorithms applied the process of probability function to estimate the energy function in terms of detection and false detection. This paper focuses on already developed methods of detection elaborate in the survey. The validation of algorithms designs a wireless sensor network environment in MATLAB software and standard measure parameters and analysed algorithms' behaviours. Also, the study of comparative performance of all presented algorithms.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.