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Energy Management in Wireless Sensor Networks discusses this unavoidable issue in the application of Wireless Sensor Networks (WSN). To guarantee efficiency and durability in a network, the science must go beyond hardware solutions and seek alternative software solutions that allow for better data control from the source to delivery.
Data transfer must obey different routing protocols, depending on the application type and network architecture. The correct protocol should allow for fluid information flow, as well as optimizing power consumption and resources – a challenge faced by dense networks.
The topics covered in this book provide answers to these needs by introducing and exploring computer-based tools and protocol strategies for low power consumption and the implementation of routing mechanisms which include several levels of intervention, ranging from deployment to network operation.
- Explores ways to manage energy consumption during the design and implementation of WSN
- Helps users implement an increase in network longevity
- Presents intrinsic characteristics of wireless sensor networks
Engineering students, students or professional research masters and PhD students in the field of new wired or wireless communication technologies. Manufacturers wishing to develop partnerships with universities in the fields of energy and optimization of IT resources. It can also be a support base for the development of course materials for teachers and researchers
1: Energy Management in Wireless Sensor Networks
- 1.1 Introduction
- 1.2 Energy consumption in WSNs
2: Optimization Techniques for Energy Consumption in WSNs
- 2.1 Management and partitioning of time
- 2.2 Data-oriented techniques
- 2.3 Sensor mobility-based techniques
- 2.4 Analysis and conclusion
3: Routing Information for Energy Management in WSNs
- 3.1 Challenges and issues in WSNs
- 3.2 Taxonomy of routing mechanisms in WSNs
- 3.3 Critical analysis
4: Adaptive Routing for Large-Scale WSNs
- 4.1 Introduction
- 4.2 Adaptive routing mechanisms
5: Inheritance-based Adaptive Protocol for WSN Information Routing
- 5.1 Network deployment and initialization
- 5.2 Network architecture clusterization
- 5.3 Data transmission and processing
- 5.4 Critical analysis and conclusion
6: Hierarchical Hybrid Routing: the HRP-DCM Solution
- 6.1 Introduction
- 6.2 HRP-DCM routing mechanism
- 6.3 Conclusion
7: Performance Evaluation
- 7.1 Introduction
- 7.2 Experimental platform
- 7.3 Choice of initialization parameters
- 7.4 Implementation and analysis of results
- 7.5 Conclusion
- No. of pages:
- © ISTE Press - Elsevier 2017
- 22nd March 2017
- ISTE Press - Elsevier
- Hardcover ISBN:
- eBook ISBN:
Youcef Touati is Associate Professor at University of Paris-8 in France. His research interests at the Computer-Science Laboratory LIASD-EA4383 concern routing and security protocols, soft computing and data fusion with application in WSN, Brain Computer Interfaces and embedded systems.
Professor, University Paris-8, Saint-Denis, France
Boubaker Daachi is Full Professor at University of Paris-8 in France and research member at Computer-Science Laboratory LIASD-EA4383. His research interests include Neural Networks, control, localization, routing protocols and security with applications in wireless sensor networks, Brain Computer Interfaces and robotics.
Professor, University Paris-8, France
Arab Ali-Chérif is Full Professor at University of Paris-8 in France and leader of the Computer-Science Laboratory LIASD-EA4383. His research interests include soft computing, data fusion, localization, routing protocols and security with applications in wireless sensor networks, robotics and medicine
Professor, University Paris-8, France
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