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무선 센서 네트워크(WSN) : 녹색환경 지원 - 기술과 시장의 발전

WSN - Maintenance-Free Environment: Technologies and Markets Developments

리서치사 PracTel, Inc.
발행일 2019년 01월 상품 코드 300995
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무선 센서 네트워크(WSN) : 녹색환경 지원 - 기술과 시장의 발전 WSN - Maintenance-Free Environment: Technologies and Markets Developments
발행일 : 2019년 01월 페이지 정보 : 영문

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

환경적으로 스마트한 기술을 이용한 친환경 무선 센서 네트워크(WSN) 설계의 중요성을 중시한 SWN 환경에서의 무선 스마트 센서 기술, 마케팅 및 애플리케이션 상황에 대해 조사하여 그 결과를 전해드립니다.

제1장 서론

제2장 무선 스마트 센서

  • 무선 스마트 센서의 구조와 기능
  • 분류
  • 상세
    • WSN-SS
    • 요건
  • 네트워킹
    • 메시(mesh) 구조의 특징
    • 장단점
  • 파라미터
  • 표준화
    • IEE E1451 : 개요
    • 패밀리
    • 하이라이트
  • 애플리케이션 : WSN-SS
    • 개요
  • 시장의 특징
    • 개요
    • 시장 추정
    • 동향
  • 벤더

제3장 WSN : 에너지 수확(Power Harvesting)

  • 친환경 기술의 요건
  • 전원 내장식 노드(Self-powered Node)
  • 방법 : 오염 감축
  • 배터리
  • 에너지 수확 기술
  • WSN 노드
  • 에너지원 : 발전기
    • 개요
    • 요약
    • 산업

제4장 에너지 소비 Smart WSN

  • ZigBee
    • ZigBee의 사양
    • 스마트 에너지 프로파일(SEP1 및 SEP2)
    • 위닝 포지션
    • Green Power ZigBee
  • 블루투스
    • 블루투스 : 저전력 소비
    • 상황
    • 모드
    • 상세
    • 메커니즘
    • 스택
    • 산업
    • 시장
    • 의료 프로파일
  • IEEE 802.11
    • 개요

제5장 결론

도표

LSH 14.05.16

Brief

This report addresses technological, marketing and applications aspects of wireless smart sensors in the WSN environment. In particular, it emphasizes the importance of the design “green” WSNs with environmentally “smart” technologies.

Rapid development of large WSNs made necessary utilization of:

  • Low-power consumption radio technologies
  • Power harvesting technologies.

The report concentrates on:

  • Smart Sensors and WSNs technologies, structures and markets
  • Self-powered Smart Sensors technologies, standards and markets
  • Low-powered radio technologies to connect Smart Sensors nodes, their specifics and markets.

The goal is to identify current trends in design and implementation of large Wireless Sensors Networks in the M2M/IoT environment.

The report is written for a wide audience of technical and managerial staff working on the design and implementation of “maintenance free” WSNs.

Table of Contents

1.0. Introduction

  • 1.1. Scope
  • 1.2. Structure
  • 1.3. Research Methodology
  • 1.4. Target Audience

2.0. Wireless Smart Sensor

  • 2.1. Wireless Smart Sensor Structure and Functionality
    • 2.1.1. General
    • 2.1.2. Components
  • 2.2. Classification
  • 2.3. Details
    • 2.3.1. WSN-SS
    • 2.3.2. Requirements
  • 2.4. Networking
    • 2.4.1. Features of Mesh Structures
    • 2.4.2. Benefits and Limitations
  • 2.5. Parameters: WSN-SS
  • 2.6. Standardization
    • 2.6.1. IEEE 1451: General
    • 2.6.2. Family
    • 2.6.3. Highlights
  • 2.7. Applications: WSN-SS
  • 2.8. Market Characteristics
    • 2.8.1. General
    • 2.8.2. Market Estimate
    • 2.8.3. Trends
  • 2.9. Vendors
  • BAE Systems
  • BBN (RAYTHEON-BBN)
  • Elta (SS)
  • Exensor (SS)
  • Intel (Chipsets)
  • Harris (SS)
  • L3(SS)
  • McQ (SS)
  • Memsic
  • Millennial Net (Mesh-SS)
  • NorthropGrumman (SS)
  • National Instruments
  • Qual-Tron (SS)
  • Rheinmetall (SS)
  • Telonics
  • Thales (SS)

3.0. WSN: Power Harvesting

  • 3.1. Green Technologies Requirements
  • 3.2. Self-powered Nodes
  • 3.3. Methods - Pollution Reduction
  • 3.4. Batteries
  • 3.5. Power Harvesting Technologies
  • 3.6. WSN Nodes
  • 3.7. Energy Sources - Harvesters
    • 3.7.1. General
      • 3.7.1.1. Solar Energy
      • 3.7.1.2. Thermoelectric
      • 3.7.1.3. Mechanical
      • 3.7.1.4. RF Power
    • 3.7.2. Summary
    • 3.7.3. Industry
      • ABB
      • AmbioSystems
      • Analog Devices
      • Ambient Micro
      • Crownlite
      • Cymbet
      • EnOcean
        • The Company
        • EnOcean Alliance
        • Standard
        • Features
        • Drivers
        • Details
        • Framework
        • Generations
        • Profiles
        • Benefits
        • Unions
        • Industry
          • BSC Magnum
          • Beckhoff
          • Echoflex
          • Fulham
          • Illumra
          • Leviton
          • Thermokon
        • Intel
        • G24. Power
        • GreyStone
        • Micropelt
        • Mide
        • MicroStrain
        • Perpetuum
        • Perpetua
        • Powercast
        • STmicroelectronics
        • Silicon Labs
        • TI

4.0 . Supporting RF Technologies

  • 4.1. ZigBee
    • 4.1.1. ZigBee Specifications
    • 4.1.2. Smart Energy Profile (SEP1 and SEP2)
      • 4.1.2.1. SEP1
        • 4.1.2.1.1. Structure
        • 4.1.2.1.2. Layers
        • 4.1.2.1.3. Devices
        • 4.1.2.1.4. Framework
      • 4.1.2.2. SEP2
        • 4.1.2.2.1. Goal
        • 4.1.2.2.2. Implementation Specifics
        • 4.1.2.2.3. Further Details
        • 4.1.2.2.4. Response
        • 4.1.2.2.5. Consortium
    • 4.1.3. Winning Position
      • 4.1.3.1. Market Perspective
    • 4.1.4. “Green Power” ZigBee
      • 4.1.4.1. Development
      • 4.1.4.2. Further Details
      • 4.1.4.3. Major Uses
  • 4.2. Bluetooth
    • 4.2.1. Bluetooth - Low Power Consumption
      • 4.2.1.1. Status
      • 4.2.1.2. Modes
      • 4.2.1.3. Details
      • 4.2.1.4. Mechanism
      • 4.2.1.5. Stack
      • 4.2.1.6. Industry (Examples)
      • 4.2.1.7. Medical Profile
        • 4.2.1.7.1. Project
        • 4.2.1.7.2. Structure and Features
        • 4.2.1.7.3. Directions
        • 4.2.1.7.4. Advantages
      • 4.2.1.8. Market
  • 4.3. IEEE 802.11
    • 4.3.1. General
    • 4.3.2. IoT Communications and Wi-Fi
    • 4.3.3. 802.11ah (Wi-Fi HaLow)
      • 4.3.3.1. Requirements
      • 4.3.3.2. Goal and Schedule
      • 4.3.3.3. Attributes
      • 4.3.3.4. Use Cases
      • 4.3.3.5. PHY
        • 4.3.3.5.1. Bandwidth
        • 4.3.3.5.2. Channelization
        • 4.3.3.5.3. Transmission Modes and MIMO
        • 4.3.3.5.4. Relay Mode
      • 4.3.3.6. MAC Layer
      • 4.3.3.7. Summary
      • 4.3.3.8. Industry
        • Aegis-IP
        • Aviacomm/Newracom
        • Morse Micro
        • Orca
        • Redpine Signals

5.0. Conclusions

List of Figures

  • Figure 1: Two Groups
  • Figure 2: SS-Functions
  • Figure 3: SS Technologies
  • Figure 4: WSN-SS Node
  • Figure 5: Examples of WSN Applications
  • Figure 6: Estimate: WSN Node Sales -Global-Commercial ($B)
  • Figure 7: Estimate: WSN Node Sales - Global-Commercial (Bil. Units)
  • Figure 8: SS Market Geographical Segmentation
  • Figure 9: SS Network Sizing
  • Figure 10: Estimate: WSN - Sales of Thermoelectric Energy Harvesters - Global ($M)
  • Figure 11: Functionalities
  • Figure 12: Positioning
  • Figure 13: Illustration - ZigBee SEP
  • Figure 14: Illustration: ZigBee SEP (Stack)
  • Figure 15: Smart Energy Network Illustration
  • Figure 16: Global Revenue - HEME - ZigBee ($B)
  • Figure 17: BT LE Stack
  • Figure 18: BT LE-based Health & Fitness Devices Shipping (Mil. Units)
  • Figure 19: 802.11ah Use Cases
  • Figure 20: Frequency Spectrum (sub-1 GHz)
  • Figure 21: 802.11ah - Channelization Plan in U.S.
  • Figure 22: Transmission Characteristics - 802.11ah
  • Figure 23: 802.11ah Features Summary

List of Tables

  • Table 1: SS Node-Price Components (%)
  • Table 2: Sources
  • Table 3: Data: Illustration
  • Table 4: Major Features
  • Table 5: Devices - Green Power
  • Table 6: Classic BT vs LE BT
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