Overview

This book provides a systematic introduction to the fundamental concepts, major challenges, and effective solutions for Quality of Service in Wireless Sensor Networks (WSNs). Unlike other books on the topic, it focuses on the networking aspects of WSNs, discussing the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, and network security. Featuring contributions from researchers, this book strikes a balance between fundamental concepts and new technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academics, research engineers, and practitioners, particularly postgraduate/postdoctoral researchers and engineers in industry. It is also suitable as a textbook or supplementary reading for graduate computer engineering and computer science courses.

Full Product Details

Author:   K. R. Venugopal ,  Shiv Prakash T. ,  M. Kumaraswamy
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Weight:   0.459kg
ISBN:  

9789811527197

ISBN 10:   9811527199
Pages:   165
Publication Date:   29 February 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 An Introduction to QoS in Wireless Sensor Networks 1.0.1 Wireless Sensor Network Architecture 1.0.2 Network Layer Issues and Challenges 1.0.3 Limitations of Wireless Sensor Networks 1.0.4 Challenges of Wireless Sensor Networks1.0.5 Medium Access Control Layer Issues and Challenges 1.0.6 Issues of Medium Access Control MAC Layer 1.0.7 MAC Scheme Design Challenges 1.1 MAC Scheme in Wireless Sensor Networks 1.1.1 Contention-freeMAC Protocols 1.1.2 Contention MAC Protocols 1.1.3 Hybrid MAC Protocols 1.2 Motivation 1.2.1 Network Layer1.2.2 Medium Access Control Layer 1.2.3 Design and Evaluation Metrics in the Network Layer 1.2.4 Design and Evaluation Metrics in the Medium Access Layer1.3 Applications of Wireless Sensor Networks 1.4 Quality of Service in Wireless Sensor Networks 1.4.1 Introduction 1.4.2 Quality of Service Architecture 1.4.3 Network and MAC Layer QoS Challenges 1.4.4 Network and MAC Layer QoS Requirements 1.5 Software Tools 1.6 Organization of the Book References 2 LRTHR: Link-Reliability Based Two-Hop Routing forWSNs 2.1 Introduction 2.2 Related Works 2.3 System Model and Problem Definition 2.4 Algorithm 2.4.1 Link Reliability Estimation 2.4.2 Link Delay Estimation 2.4.3 Node Forwarding Metric 2.4.4 LRTHR: An Example 2.5 Performance Evaluation 2.6 Summary References 3 FTQAC: Fault Tolerant QoS Adaptive Clustering forWSNs 3.1 Introduction 3.2 Related Works 3.3 System Model and Problem Definition 3.4 Cluster Setup and Primary Cluster Head Selection 3.5 Secondary Cluster Head Selection3.6 QoS Route Establishment 3.7 Simulation Setup 3.8 Summary References 4 RTTDR: Real-Time Traffic-Differentiated Routing forWSNs 4.1 Introduction 4.2 Related Works 4.3 System Model and Problem Definition 4.4 Algorithm 4.4.1 Link Reliability Estimation 4.4.2 Queueing and Transmission Delay Estimation 4.4.3 Node Forwarding Metric 4.4.4 Queuing Controller 4.5 Implementation and Performance Evaluation4.6 Summary References 5 RARR: Reliable Adaptive Replication Routing Scheme forWSNs5.1 Introduction 5.2 Related Works 5.3 System Model and Problem Definition 5.4 Algorithm 5.4.1 Link Capacity Estimator 5.4.2 Packet Disseminator 5.4.3 Packet Replicator 5.5 Simulation and Performance Evaluation 5.6 Summary References 6 ETXTD: ETX and RTT Delay based Fault Detection Algorithm forWSNs 6.1 Introduction6.2 Related Works 6.3 System Model and Problem Definition 6.4 Algorithm 6.4.1 Estimation of Expected Transmission Count (ETX) Metric6.4.2 Estimation of Round Trip Time (RTT) and Round TripPath (RTP) 6.4.3 Detection of Faulty Sensor Node 6.4.4 Performance Evaluation 6.5 Summary References 7 DQTSM: Distributed Qos in Time Synchronized MAC Protocol forWSNs 7.1 Introduction 7.2 Related Works 7.3 System Model and Problem Definition 7.4 Mathematical Model 7.4.1 Energy Consumption 7.4.2 DQTSM Algorithm7.5 Performance Evaluation 7.6 Summary References8 ERRAP: Efficient Retransmission Qos-Aware MAC Scheme for WSNs 8.1 Introduction 8.2 Related Works 8.3 System Model and Problem Definition 8.4 Mathematical Model 8.4.1 One-Hop Retransmissions 8.4.2 Two-QoS Groups 8.4.3 ERRAP Algorithm 8.5 Performance Evaluation 8.5.1 Simulation Setup 8.5.2 One-Hop QoS Group 8.5.3 Two QoS Groups 8.5.4 Minimizing Energy Consumption 8.6 SummaryReferences 9 CBH-MAC: Contention Based Hybrid MAC Protocol forWSNs 9.1 Introduction 9.2 Related Works 9.3 System Model and Problem Definition9.4 Mathematical Model 9.5 Performance Evaluation 9.5.1 Simulation Setup 9.5.2 Multi-hop Chain Topology 9.5.3 Multi-hop Cross Topology9.5.4 End-to-End Latency 9.5.5 Packet Delivery Ratio (PDR) Performance 9.5.6 Energy Consumption 9.6 Summary References 10 DMS-MAC: Qos Distributed Multi-Channel Scheduling MACProtocol forWSNs 10.1 Introduction 10.2 Related Works 10.3 System Model and Problem Definition 10.4 Mathematical Model 10.4.1 DMS-MAC Algorithm10.5 Performance Evaluation 10.5.1 Simulation Setup 10.6 Summary References 11 QMSR: Qos Multihop Sensor Routing Cross Layer Design forWSns 11.1 Introduction 11.2 Related Works 11.3 System Model and Problem Definition 11.4 QMSR Algorithm 11.5 Performance Evaluation 11.6 Summary References 12 EPC: Efficient Gateway Selection for Passive Clustering in MWSNs 12.1 Introduction 12.2 Related Works12.3 Network Model 12.3.1 Definitions 12.3.2 Mobile Wireless Sensor Network as a Graph 12.4 Problem Definition12.4.1 Topological Problems associated with Passive Clustering12.5 Algorithm EPC (Efficient Passive Clustering) 12.5.1 Intelligent Gateway Selection Heuristic 12.5.2 Timeout Mechanism12.6 Performance Analysis 12.7 Summary References 13 REAR: Topology Controlled Energy Management in WSNs 13.1 Introduction 13.2 Related Works 13.3 Network Model 13.3.1 Architecture 13.3.2 Wireless Sensor Model 13.4 Problem Definition 13.4.1 Basic Energy Routing (BER) in Wireless Sensor Networks 13.5 ILP and MILP Models for Maximizing the lifetime of Wireless Sensor Networks 13.5.1 Algorithm: Residual Energy Adaptive Routing(REAR) 13.5.2 An Example 13.6 Performance Evaluations 13.7 Summary References 14 GwIP: Life Time Maximization ofWSNs 14.1 Introduction 14.2 Related Works 14.3 Wireless Sensor Model 14.4 Problem Definition 14.5 Existing Algorithms 14.5.1 Broadcast Incremental Power (BIP) 14.5.2 Weighted Broadcast Incremental Protocol (WBIP) 14.6 Proposed Algorithms 14.6.1 Total Energy Weighted Incremental Model (Recharge Model)14.6.2 Global Weighted Incremental Power (GWIP) 14.6.3 Global Weight Incremental Post Sweep (GWIPS) 14.7 Performance Evaluations14.8 Summary References 15 MSNL: Energy Efficient Broadcasting in WSNs 15.1 Introduction 15.2 Related Works 15.3 Wireless Sensor Model 15.4 Problem definition 15.5 Static Network Lifetime15.5.1 Maximizing Static Network Lifetime15.6 Performance Evaluations 15.7 Summary References 16 AANTCHAIN: Adaptive ANTChain for Increasing Lifespan in WSNs16.1 Introduction 16.2 Related Works 16.3 System Model and Problem Definition 16.4 Algorithm: Adaptive AntChain 16.5 Performance Analysis 16.6 Summary References 17 SAAQ: Secure Aggregation for Approximate Queries in WSNs 17.1 Introduction 17.2 Related Works 17.2.1 Routing and Data Aggregation 17.2.2 Secure Data Aggregation 17.2.3 Introduction to Synopsis Diffusion Framework 17.2.4 Secured Data Aggregation 17.3 Problem Definition and Models 17.3.1 Network Model 17.3.2 Attack Model 17.3.3 Security Model 17.4 The SAAQ Algorithm 17.4.1 Query Dissemination 17.4.2 Synopsis Generation and Aggregation 17.5 Results and Analysis 17.5.1 Energy Consumption per Data Collection Round 17.5.2 Impact of Inflation Attack on Final Aggregate Computed 17.5.3 Impact of Deflation Attack 17.5.4 Impact of Compromised Nodes on Number of Bytes Sent per Node 17.6 Summary References 18 SDAMQ: Secure Data Aggregation for Multiple Queries in WSNs 18.1 Introduction 18.2 Related Works 18.2.1 Data Aggregation for Multiple Coexisting Queries 18.2.2 Concealed Data Aggregation18.3 Preliminaries 18.3.1 SafeQ 18.3.2 CDAMA: Concealed Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks 18.4 Problem Definition and Models 18.4.1 Network Model 18.4.2 Query Model 18.4.3 Attack Model 18.5 The SDAMQ Algorithm 18.5.1 Query Dissemination 18.5.2 Data Generation and Aggregation 18.5.3 Decryption 18.6 Results and Analysis 18.6.1 Impact of Network Size on Overall Energy Consumption 18.6.2 Impact of Attack on Packet Delivery Ratio 18.7 Summary References 19 DAMS: Data Aggregation using Mobile Sink in Wireless Sensor Networks 19.1 Introduction 19.2 Related Works 19.2.1 Logical Coordinate Space Construction 19.2.2 Destination Identification 19.2.3 Greedy Forwarding 19.3 Problem Definition and Models 19.3.1 Network Model 19.3.2 Communication Model 19.3.3 Sink Mobility Model 19.4 The Data Aggregation using Mobile Sink (DAMS) Algorithm 19.4.1 Query Dissemination from the Mobile Sink 19.4.2 Query Propagation and Route Establishment 19.4.3 Data Aggregation and Forwarding19.5 Results and Analysis19.5.1 Impact of Network Size on Average Energy Consumption 19.5.2 Impact of Network Size on Average Packet Delivery Ratio19.5.3 Impact of Network Size on Average Path Length 19.5.4 Impact of Network Size on Delay 19.6 Summary References 

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Author Information

Dr. K. R. Venugopal is the Vice Chancellor of Bangalore University. He holds eleven degrees, including a Ph.D. in Computer Science Engineering from IIT-Madras, Chennai and a Ph.D. in Economics from Bangalore University, as well as degrees in Law, Mass Communication, Electronics, Economics, Business Finance, Computer Science, Public Relations, and Industrial Relations.  Dr. Venugopal has authored and edited 68 books and published more than 800 papers in refereed international journals and conferences. Dr. Venugopal was a Postdoctoral Research Scholar at the University of Southern California, USA. He has been conferred IEEE fellow and ACM Distinguished Educator for his contributions to Computer Science Engineering and Electrical Engineering education. Dr. Shiv Prakash T. is currently Director of the Vijaya Vittala Institute of Technology, Bangalore, India. He holds a Ph.D., M.S and B.E in Computer Science and Engineering from Bangalore University. He has over ten years of IT experience in the field of Embedded Systems and Digital Multimedia. He is currently authoring the book Mastering Java to be published in 2021. His research areas include Wireless Sensor Networks, Computer Vision, Embedded Linux, and Digital Multimedia. Dr. M. Kumaraswamy is currently a Professor at the Department of Computer Science and Engineering at SJPT, Bangalore. He holds a Ph.D. in Computer Science and Engineering from JNTU Hyderabad, B.E. degree in Electrical and Electronics Engineering from the University of Mysore, Mysore, and M.Tech in System Analysis and Computer Applications from NITK Surathkal. His research interests include Wireless Sensor Networks and Adhoc Networks.

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