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Wireless sensor networks / Liam I. Farrugia, editor.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Contributor:
Farrugia, Liam I.
Series:
Computer science, technology and applications.
Computer science, technology and applications
Language:
English
Subjects (All):
Wireless sensor networks.
Physical Description:
1 online resource (183 p.)
Edition:
1st ed.
Place of Publication:
New York : Nova Science Publishers, c2011.
Language Note:
English
Summary:
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to co-operatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants. This title presents topical research data from around the globe in the field of wireless sensor networks.
Contents:
Intro
WIRELESS SENSOR NETWORKS
CONTENTS
PREFACE
Chapter 1 IMPROVEMENT IN LIFETIME OF WIRELESS SENSOR NETWORKS USING PERFECT DIFFERENCE SET- NETWORKS
1. WIRELESS SENSOR NETWORKS
1.1. Review and Introduction
1.2. Characteristics and Requirements of Wireless Sensor Networks
1.3. Fixed (Non Mobile) Deployment of Sensor Nodes
1.4. Research Approach
1.5. UbiSens: Project at VLSI Lab VNIT Nagpur
2. PERFECT DIFFERENCE SET NETWORKS FOR WIRELESS SENSOR NETWORKS
2.1. Projective Geometry in WSN
2.2. Fixed Geometrical Deployment of Sensor Nodes
2.3. Perfect Difference Set
2.4. Perfect Difference Networks
2.5. Collective Communication in PDS Networks
2.6. Perfect Difference Set - Wireless Sensor Network (PDS-WSN)
2.7. Routing in PDS-WSN
2.8. Clustering Wireless Sensor Network with PDS-WSN
2.9. Experimental Results
2.10. Limitations of PDS-WSN
2.11. Conclusion
REFERENCES
Chapter 2 KEY MANAGEMENT PROTOCOL FOR HETEROGENEOUS SENSOR NETWORKS
1.1 INTRODUCTION
1.2 HETEROGENEOUS SENSOR NETWORKS KEY MANAGEMENT
1.3 A NOVEL KEY PRE-DISTRIBUTION PROTOCOL BASED ON PAIR-WISE BALANCED DESIGN
1.3.1 Basic Knowledge
1.3.2 Pair-wise Balanced Design Based Key Pre-distribution Scheme
1.3.2.1 DCPBD Scheme
1.3.2.2 VDCPBD Scheme
1.4 AN IMPROVED KEY MANAGEMENT PROTOCOL FOR HSN
1.4.1 Assumption
1.4.2 The Scheme Description
1.4.3 Setting Up Si,j
1.5 A LOCATION-AWARE AND SECRET-SHARE BASED DYNAMIC KEY MANAGEMENT PROTOCOL
1.5.1 Basic knowledge
1.5.2 Assumption
1.5.3 Basic idea
1.5.4 The application of division storage of keys
1.5.5 The eviction of the compromised original cluster head node
1.5.6 The addition of new gateways and nodes
CONCLUSION
Chapter3DATAAGGREGATIONINWSNS:STATEOFTHEARTANDAMULTI-CRITERIAPROPOSAL.
Abstract
1.1.Introduction
1.1.1.WSNsandtraditionalnetworks
1.1.2.SomeDefinitions
1.1.3.ClassificationofDataAggregationmechanisms
1.1.4.Organization
2.2.Structure-FreeDataAggregation
2.2.1.Query-BasedAggregation
2.2.2.MobileAgents
3.3.Structure-BasedDataAggregation
3.3.1.Tree-Based
Someproposalsoverthetree-basedstructure
Parent-selectionmethods
Communicationdelay
Synchronizationproblem
3.3.2.Cluster-Based
EfficientStatic-Clustering-Centricdataaggregation
LEACH
HEED
Furtherproposals
Data-Aggregation-CentricCluster-BasedWSN
ADA
Event-CentricDataAggregationoverCluster-BasedWSN
EDMDP
4.4.Multi-CriteriaDataAggregation
4.4.1.Systemdesign
4.4.1.1.Agentroleandimplementation
4.4.1.2.Agentknowledgebase
Agentknowledgefromtheroutingprotocol
4.4.2.Dataaggregationsessionscenario
4.4.3.CooperationMessage
4.4.4.AgentStrategy
Energy
Networkdensity
Positionwithinthenetwork
InformationImportanceDegree
5.5.DiscussionofDataAggregationMechanisms
6.6.ImpactofNetworkDeploymentonDataCredibility
6.6.1.LowDensityWSNs
6.6.2.HighDensityWSNs
7.7.Security
7.7.1.Hop-by-HopEncryption
7.7.2.End-to-EndEncryption
7.7.3.Trust-basedauthentication
8.8.DataAggregationasaLayer
9.9.Conclusion
References
Chapter4DETECTIONOFMALICIOUSCODEINJECTIONATTACKSINSENSORNETWORKSUSINGSEQUENTIALANALYSIS
Abstract
1.Introduction
2.Models
3.MaliciousCodeDetectionUsingSequentialProbabilityRatioTest
4.SecurityAnalysis
5.Conclusions
Chapter5THESIMULATIONONWIRELESSSENSORNETWORKS
2.2.SimulationArchitectureforWSNs
3.3.WSNSimulationTools
3.3.1.NS-2
3.3.2.OMNET++
3.3.3.TOSSIM
3.3.4.J-Sim
3.3.5.OPNET
3.3.6.SENSIM
3.3.7.SENSE
3.3.8.GloMoSim
3.3.9.ATEMU
3.3.10.SNetSim.
3.3.11.EmStar
3.3.12.Prowler/JProwler
3.3.13.SNAP
3.3.14.Shawn
3.3.15.SensorMaker
4.4.EvaluationMethodologies
4.4.1.ReusabilityandExtensibility(RE)
4.4.2.PerformanceandScalability(PS)
4.4.3.Graphics,DebugandTrace(GDT)
5.5.Conclusion
Chapter6CONTINUOUSDATACOLLECTIONINWIRELESSSENSORNETWORKS*
2.RelatedWork
3.Preliminaries
3.1.ModelandNotations
3.2.NetworkCodingbasedDataCollection:SuperiorityandProblems
4.PartialNetworkCodingbasedDataStorageandReplacement
4.1.OverviewofPartialNetworkCoding
4.2.DataStorageandReplacementinPNC
4.3.PerformanceAnalysisofPNCandEnhancements
5.ProtocolDesignandPracticalIssues
5.1.ComputationandCommunicationOverheads
5.2.MultipleDataPattern
5.3.CollaborativeandDistributedImplementation
6.PerformanceEvaluation
6.1.SimulationSettings
6.2.ComparisonofEnergyConsumption
6.3.PerformanceofPNC
6.3.1.PNCvsNon-NC
6.3.2.EffectofBufferSize
6.3.3.ImpactofN
6.4.EffectofClustering
6.5.ImpactofMultiplePattern
7.ConclusionsandFutureWork
Acknowledgment
Chapter 7 ON LOAD-BALANCED DATA GATHERING FOR LIFETIME MAXIMIZATION IN WIRELESS SENSOR NETWORKS
ABSTRACT
1. INTRODUCTION
2. CHALLENGES AND DESIGN ISSUES
2.1. Traffic Model
2.2. Data Aggregation
2.3. Energy Model: Load of a Node
2.4. Node Deployment
2.5. Node Heterogeneity and Mobility
3. LOAD BALANCING TECHNIQUES
3.1. Load Balancing with Data Aggregation: Uniform Traffic
3.1.1. Hierarchical Data Gathering: Clustering Approach
3.1.1.1. Distributed Algorithms
3.1.1.2. Centralized Algorithms
3.1.2. Non-Hierarchical Data Gathering
3.1.2.1. Distributed Algorithms
3.1.2.2. Centralized Algorithms
3.2. Load Balancing without Data Aggregation
3.2.1. One-Dimensional Node Distribution.
3.2.2. Non-Uniform Node Deployment Schemes
3.2.3. Multiple Sinks/Relay Nodes
3.3. Load Balancing for Query-Based/Event Driven Traffic
3.4. Load Balancing in Heterogeneous Networks
4. FUTURE DIRECTIONS
5. CONCLUSION
Commentary FUTURE DIRECTION OF NETWORK OPERATORS: WIRELESS MACHINE-TO-MACHINE COMMUNICATIONS NETWORK INFRASTRUCTURE
2. NEW NETWORK
3. COMPARISONS WITH OTHER NETWORKS
4. STANDARDIZATION
5. WIDE AREA UBIQUITOUS NETWORK
5. APPLICATION EXPERIMENTS IN TOKYO [6]
INDEX.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on print version record.
ISBN:
1-61728-328-2
OCLC:
923662437

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