Enerji Hasadı ve Sıkıştırmalı Algılama Yapan Gizlilik Odaklı Sualtı Kablosuz Ağlarında Ömür Analizi

Loading...
Publication Logo

Date

2019

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. Underwater sensor nodes operate using the energy provided by integrated limited batteries, and it is a serious challenge to replace the battery under the water especially in harsh conditions with a high number of sensor nodes. Here, energy efficiency confronts as a very important issue. Besides energy efficiency, data privacy is another essential topic since UWSN typically generate delicate sensing data. UWSN can be vulnerable to silent positioning and listening, which is injecting similar adversary nodes into close locations to the network to sniff transmitted data. In this paper, we discuss the usage of compressive sensing (CS) and energy harvesting (EH) to improve the lifetime of the network whilst we suggest a novel encryption decision method to maintain privacy of UWSN. We also deploy a Mixed Integer Programming (MIP) model to optimize the encryption decision cases which leads to an improved network lifetime. © 2020 Elsevier B.V., All rights reserved.

Description

Keywords

Compressive Sensing, Energy Harvesting, Lifetime, Optimization, Privacy, Compressed Sensing, Cryptography, Data Privacy, Electric Batteries, Energy Efficiency, Integer Programming, Optimization, Sensor Nodes, Compressive Sensing, Decision Method, Lifetime, Lifetime Analysis, Mixed Integer Programming Model, Network Lifetime, Underwater Sensor Networks, Underwater Sensors, Energy Harvesting

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

N/A

Scopus Q

N/A
OpenCitations Logo
OpenCitations Citation Count
4

Source

-- 27th Signal Processing and Communications Applications Conference, SIU 2019 -- Sivas -- 151073

Volume

Issue

Start Page

End Page

PlumX Metrics
Citations

CrossRef : 3

Scopus : 5

Captures

Mendeley Readers : 3

SCOPUS™ Citations

5

checked on Mar 04, 2026

Page Views

3

checked on Mar 04, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
1.0706

Sustainable Development Goals

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo