無線傳感網(wǎng)絡(luò)（Wireless_Sensor_Network,WSN）可通過無線通信技術(shù)把數(shù)以萬計的傳感器節(jié)點自由地進(jìn)行組織與結(jié)合,其因網(wǎng)絡(luò)設(shè)置靈活、組建方式自由、網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)多變等優(yōu)勢,被廣泛應(yīng)用于軍事、工業(yè)、智能交通、生態(tài)環(huán)境監(jiān)測等多個領(lǐng)域。普遍應(yīng)用的傳感器網(wǎng)絡(luò)主要由節(jié)點、傳感網(wǎng)絡(luò)和用戶三部分組成,其中節(jié)點包括可記錄、發(fā)送、接收數(shù)據(jù)的小型且具有約束能力的傳感器節(jié)點,以及能夠感知傳感器節(jié)點并收集數(shù)據(jù)的接收器節(jié)點。傳感網(wǎng)絡(luò)包含傳感器節(jié)點間及其與接收器節(jié)點間的路由和鏈路等。無線傳感網(wǎng)絡(luò)應(yīng)用的關(guān)鍵挑戰(zhàn)主要有兩方面:一是如何降低傳感器的能耗以延長傳感網(wǎng)絡(luò)的壽命;二是如何降低網(wǎng)絡(luò)被攻擊的風(fēng)險以保障數(shù)據(jù)傳輸?shù)陌踩�。隨著無線傳感技術(shù)的發(fā)展,傳感器節(jié)點的能耗問題成為研究學(xué)者關(guān)注的重點。與網(wǎng)絡(luò)中其他的運(yùn)行參數(shù)相比,能量在網(wǎng)絡(luò)傳輸中的消耗更為頻繁;同時隨著傳感器節(jié)點尺寸的減小,傳感器的存儲、處理能力和電池電量等都受到限制,因此亟需一種節(jié)能的路由機(jī)制來有效地執(zhí)行數(shù)據(jù)傳輸,進(jìn)而節(jié)省傳輸帶來的能量消耗。另一方面,由于無線傳感網(wǎng)絡(luò)使用無線通信技術(shù),網(wǎng)絡(luò)被攻擊風(fēng)險大大增加,... 

【文章來源】：北京郵電大學(xué)北京市 211工程院校 教育部直屬院校

【文章頁數(shù)】：148 頁

【學(xué)位級別】：博士

【文章目錄】：
Dedication
Acknowledgement
ABSTRACT
摘要
CHAPTER 1 INTRODUCTION
    1.1 WIRELESS SENSOR NETWORK (WSN)
        1.1.1 ARCHITECTURE OF SENSOR NODE
    1.2 WSN AND TRADITIONAL WIRELESS NETWORKS
        1.2.1 RESOURCE REQUIREMENTS for WSN
        1.2.2 QUALITY OF SERVICE (QOS)AND RELIABILITY
        1.2.3 NONE SIZE FITS-ALL ARRANGEMENT
        1.2.4 ENVIRONMENT COOPERATION
    1.3 TYPES OF WSN
        1.3.1 APPLICATIONS OF WSN
        1.3.2 D2D Communication and 5G
    1.4 MOTIVATION
    1.5 PROBLEM STATEMENT
    1.6 RESEARCH AIM AND OBJECTIVES
    1.7 CONTRIBUTIONS OF THE RESEARCH
    1.8 RESEARCH SCOPE
    1.9 RESEARCH BENEFITS
    1.10 STRUCTURE OF THE THESIS
CHAPTER 2 LITERATURE REVIEW/BACKGROUND
    2.1 INTRODUCTION
    2.2 STATE-OF-THE-ART
    2.4 SOME SCHEMES WITH MULTIPLE SINKS
    2.5 SOME SCHEMES OF GA APPLICATION UTILIZED IN WSNS
    2.6 D2D COMMUNICATION
    2.7 SUMMARY
CHAPTER 3 RESEARCH FRAMEWORK AND METHODOLOGY
    3.1 INTRODUCTION
    3.2 OVERVIEW OF GENETIC ALGORITHM
        3.2.1 POPULATION
        3.2.2 SELECTION
        3.2.3 FITNESS FUNCTION
        3.2.4 MUTATION
        3.2.5 CROSSOVER
    3.3 PROPOSED RESEARCH FRAMEWORK
    3.4 PROPOSED GENETIC ALGORITHM FLOW CHART
    3.5 PROPOSED OPTIMIZATION ALGORITHM
    3.6 PROPOSED RESEARCH SCENARIOS
    3.7 PROPOSED RESEARCH SCENARIO FOR MOBILE WIRELESS SENSOR NODES
    3.8 Comparison with TEEN
    3.9 SUMMARY
CHAPTER 4 SINGLE SINK BASED WIRELESS BODY AREA NETWORK OPTIMIZATION
    4.1 INTRODUCTION
    4.2 Genetic Algorithm
    4.3. Results and Discussion
    4.4 Scenario 1 (4 sensors with one Sink)
    4.5 Summary
CHAPTER 5 ISDV-HOP LOCALIZATION ALGORITHM WITH INCREASED NODE DENSITY
    5.1 ISDV-Hop Localization Algorithm
        5.1.1 DV-Hop Algorithm
        5.1.2 ISDV-Hop Algorithm (Enhanced)
    5.2 Simulation Setup
    5.3 Results
    5.4 Chapter Summary
CHAPTER 6 AUTHENTICATION SCHEME FOR SECURE DEVICE-TO-DEVICECOMMUNICATION
    6.1 Elliptic-Elgamal-Based Authentication Scheme
    6.2 System Model
    6.3 Our Cryptosystem6.3. OUR CRYPTOSYSTEM
    6.4 Analysis and Discussion
        6.4.1 Security Aspects
    6.5 Computational Aspects
    6.6 Authentication Overhead
    6.7 Chapter Summary
CHAPTER 7 CONCLUSION AND FUTURE DIRECTIONS
    7.1. DISCUSSIONS
    7.2. CONCLUSION
    7.3. RESEARCH NOVELITY AND CONTRIBUTION
    7.4. FUTURE WORK
PUBLICATIONS
REFERENCES



本文編號：3509963