Dynamic wireless sensor networks / Sharief M. A. Oteafy, Hossam S. Hassanein.

Format:

Book

Author/Creator:

Oteafy, Sharief, author.

Hassanein, H. (Hossam), author.

Series:

Focus series (London, England)

Focus in Networks and Telecommunications Series, 2051-249X

Language:

English

Subjects (All):

Wireless sensor networks.

Physical Description:

1 online resource (123 p.)

Edition:

1st ed.

Place of Publication:

London, [England] ; Hoboken, New Jersey : ISTE : Wiley, 2014.

Language Note:

English

Summary:

In this title, the authors leap into a novel paradigm of scalability and cost-effectiveness, on the basis of resource reuse. In a world with much abundance of wirelessly accessible devices, WSN deployments should capitalize on the resources already available in the region of deployment, and only augment it with the components required to meet new application requirements. However, if the required resources already exist in that region, WSN deployment converges to an assignment and scheduling scheme to accommodate for the new application given the existing resources. Such resources are polled from many fields, including multiple WSNs already in the field, static networks (WiFi, WiMAX, cellular, etc) in addition to municipal, industrial and mobile resources.The architecture, framework and pricing policy, as well as approaches for backward compatibility with existing deployments, are presented in this book. We elaborate on the formalization of the problem, and contrast with existing work on coverage. This paradigm adopts optimal assignments in WSNs and exploits dynamic re-programming for boosting post-deployment and backward compatible protocols.

Contents:

Cover

Title Page

Copyright

Contents

Preface

List of Acronyms

List of Notations

Chapter 1: Evolution of Wireless Sensor Networks

1.1. The progression of wireless sensor networks

1.2. Remote sensing: in retrospect

1.3. Inherited designs and protocols from MANets

1.4. Book outline

1.5. Summary

1.6. Bibliography

Chapter 2: Shifting to Dynamic WSN Paradigms

2.1. The hurdle of static operation

2.2. Versatile operating systems

2.3. Dynamic reprogramming

2.4. The rise of service-oriented WSNs

2.5. Crowd sensing

2.6. Bibliography

Chapter 3: Resilience and Post-Deployment Maintenance

3.1. Impact of harsh environments on network design

3.2. High failure proneness (of nodes and communication)

3.2.1. Detection

3.2.2. Classification

3.2.3. Location and zoning

3.2.4. Isolation

3.2.5. Maintenance

3.3. Post-deployment maintenance

3.4. Re-deployment

3.5. Self-re-distributing SNs and mobility

3.5.1. Sink mobility

3.5.2. Node mobility

3.6. Bibliography

Chapter 4: Current Hindrances in WSNs

4.1. Lack of consensus

4.2. Resource underutilization in the black-box paradigm

4.3. Redundant deployments

4.4. Single-application paradigm

4.5. Redundancy to boost resilience

4.6. IPv6 and enabling internet connectivity

4.7. Bibliography

Chapter 5: Cloud-Centric WSNs

5.1. Introduction

5.2. The evolution of cloud-centric architectures

5.2.1. The cloud variants

5.2.2. LowPAN and stub nets

5.3. SOA and SODA

5.4. Hindrances in adopting cloud-centric WSNs

5.4.1. Spatial limitations

5.4.2. Temporal limitations

5.4.3. Data representation SLAs

5.4.4. Impact on resilience

5.4.5. Energy efficiency at steak

5.4.6. Functional decomposition discrepancies/redesign

5.4.7. Breaching anonymity.

5.4.8. Traffic bottlenecks and query diffusion

5.5. Future directions

5.6. Bibliography

Chapter 6: The Resource-Reuse WSN Paradigm

6.1. Contributions of the RR-WSN paradigm

6.1.1. Revamping the view (of WSNs)

6.1.2. WSN resource reutilization

6.1.3. Multi-application overlay

6.1.4. Utilizing non-WSN abundant resources

6.1.5. Enabling large-scale deployment

6.1.6. Synergy for realizing the Internet of things

6.2. RR-WSN: system model

6.2.1. Network design

6.2.2. Resource attributes

6.2.2.1. Functional capability

6.2.2.2. Levels of operation

6.2.2.3. Power consumption

6.2.2.4. Location

6.2.2.5. Duty cycling

6.2.2.6. Region of fidelity

6.2.3. Representing applications

6.3. Bibliography

Chapter 7: Component-Based WSNs: A Resilient Architecture

7.1. Component-based DWSN architecture

7.1.1. Network model

7.1.2. Dynamic core nodes (DCN)

7.1.3. Wireless dynamic components (WDC)

7.1.4. Remote wake-up

7.2. WDSN in operation: the synergy of dynamic sensing

7.2.1. Operation of DWSN

7.2.2. DCN in operation

7.2.3. WDC in operation

7.3. Resilience model

7.4. Bibliography

Chapter 8: Dynamic WSNs - Utilizing Ubiquitous Resources

8.1. System model and assumptions

8.2. Optimal mapping

8.3. BIP formulation

8.4. Novel performance evaluation metrics

8.4.1. BILP solution using MATLAB LP toolbox: bintprog

8.4.2. Amortized functional energy impact

8.5. A note on tractability

8.6. Bibliography

Chapter 9: Realizing a Synergetic WSN Architecture for All Resources

9.1. Introduction

9.2. Motivation and background

9.3. System model - arbitrators for WSNs with transient resources

9.4. Resource attributes

9.5. Transient resources - a special case

9.5.1. Spatial properties

9.5.2. Temporal properties

9.6. Mobility models.

9.7. Usage cost

9.7.1. Asymptotic sigmoidal growth - utilizing the Gompertz function

9.7.2. Elastic pricing - impact of scarcity on price

9.8. On maximal matching and construed equality between resource providers

9.8.1. System model

9.8.2. Dynamic rounds - capturing transient resources

9.8.3. Utilizing the Hungarian method

9.9. Bibliography

Chapter 10: Future Directions in Sensor Networks

10.1. Why applications should not be the sole drive

10.2. Ode to formal design over mere analysis

10.3. The call for synergy

10.4. The rise of biosensors, nano-networks and intelligent prostheses

10.5. Bibliography

Index.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-118-76197-9

1-118-76204-5

OCLC:

887507260