Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/127342


Title: Probabilistic Approach of Improved Binary PSO Algorithm Using Mobile Sink Nodes
Authors: Anand, S. Raj
Kannan, E.
Contributors: 資管評論
Keywords: Mobile Sink;Improved Binary Particle Swarm Optimization;OFDMA;Wireless Sensor Network;Quality of Service
Date: 2016-03
Issue Date: 2019-11-20 16:00:29 (UTC+8)
Abstract: In Wireless Sensor Network (WSN) applications for efficient data accumulation, the use of mobile sinks plays a very important part. In sensor networks that make use of existing key pre distribution schemes of pairwise key establishment and authentication between sensor nodes and mobile sink, the use of mobile sinks of data collection elevates a new security challenge. Improved Binary Particle Swarm Optimization algorithm (IBPSO) has been used to find the exact location of a three-way process such as sink, distribution of frequency, and localization. The Orthogonal Frequency Division Multiple Access (OFDMA) technique is used to identify the frequency in the communication channel for finding the exact frequency. The existing multiple access techniques have not been used to combine the threeway process such as sink the node, frequency, and positions for utilizing the efficiency of energy in the particular positions to transfer a packet. The proposed research is used to implement the IBPSO algorithm with OFDMA techniques for utilizing exact bandwidth to perform the energy level at the scheduled time. The experimental results have been implemented in the mathematical approach of Polynomial pool based scheme for finding the regions. In this region, the normal distribution procedure has measured optimally to produce the Quality of Service (QoS) for accessing the better outcome of bandwidth and it provides an easy way to access mechanism with higher energy efficiency.
Relation: 資管評論 MIS REVIEW : An International Journal, 21(1)&(2), 1-13
Data Type: article
Appears in Collections:[資管評論] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML126View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing