Novel adaptive random access window (raw) slot adjustment model for iot network using an integrated scheme. (Record no. 18864)
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| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230214144309.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230214b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19999 |
| Author | Nwogu, UchennaObioma |
| 245 ## - TITLE STATEMENT | |
| Title | Novel adaptive random access window (raw) slot adjustment model for iot network using an integrated scheme. |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.12(6), Nov-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Haryana |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 21-29p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The RAW (Restricted Access Window) component of the IoT network is deployed to reduce traffic and channel contention in dense and heterogeneous sensor network environment. It divides sensor nodes into groups and slots, allowing channel access only to one RAW slot at a time. Several algorithms and improved channel utilization optimization models have been proposed to optimize the RAW parameters, to ensure a contention free network or at least, minimally reduce it. These techniques often rely on previous traffic demands schedules, collision analysis and send/receive matrices to accurately predict the future of stations’ interactions in an IoT environment. Thus systematically adjusting its operations to reduce contention among the stations and the Access Point(AP), thereby ensuring a flexible transmission even in a dense network environment. This paper critically investigated, analysed and proposed a novel approach to RAW size adjustment. The new approach will invoke data mining instruments and optimisation algorithms to improve performance of stations in an IoT environment and thereafter simulated (with respect to some specified QoS parameters) to ascertain it’s (output) performance index with the already existing models. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 773 0# - HOST ITEM ENTRY | |
| Title | IOSR journal of VLSI and signal processing (IOSR-JVSP) |
| Place, publisher, and date of publication | Gurgaon International Organization Of Scientific Research (IOSR) |
| International Standard Serial Number | 2319 – 4197 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jvlsi/papers/vol12-issue6/C12062129.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 2023-02-14 | 2023-0322 | 2023-02-14 | 2023-02-14 | Articles Abstract Database |