Advances in Wireless Sensor Network

Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSNs measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on.


In the present book, twelve typical literatures about wireless sensor network published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on multidimensional scaling, data center monitoring, online collaborative sensor data management platforms, distributed sensor network, In-network processing and secure data aggregation, etc. We hope this book can demonstrate advances in wireless sensor network as well as give references to the researchers, students and other related people.

Components of the Book:
  • Chapter 1
    A coverage-aware energy replenishment scheme for wireless rechargeable sensor networks
  • Chapter 2
    DynTunKey: a dynamic distributed group key tunneling management protocol for heterogeneous wireless sensor networks
  • Chapter 3
    Self-Organizing Mobility Control in Wireless Sensor and Actor Networks Based on Virtual Electrostatic Interactions
  • Chapter 4
    LDAT: LFTM based data aggregation and transmission protocol for wireless sensor networks
  • Chapter 5
    Potential-based routing for supporting robust any-to-any communication in wireless sensor networks
  • Chapter 6
    A neural data-driven algorithm for smart sampling in wireless sensor networks
  • Chapter 7
    Collaborative routing and data delivery architecture for commercial wireless sensor networks
  • Chapter 8
    DECA: distributed energy conservation algorithm for process reconstruction with bounded relative error in wireless sensor networks
  • Chapter 9
    QoS-based management of biomedical wireless sensor networks for patient monitoring
  • Chapter 10
    Fuzzy-based congestion control for wireless multimedia sensor networks
  • Chapter 11
    Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol for wireless sensor networks
  • Chapter 12
    Improved differential fault analysis on lightweight block cipher LBlock for wireless sensor networks
Readership: Students, academics, teachers and other people attending or interested in wireless sensor network.
Marcin Bernas, Institute of Computer Science, University of Silesia, Sosnowiec, Poland

Shinya Toyonaga, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan

Daichi Kominami, Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

Masashi Sugano, School of Knowledge and Information Systems, College of Sustainable System Sciences, Osaka Prefecture University, Sakai, Osaka, Japan

Luca Mesin, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

Bilal Hasani, School of Electrical Engineering, KTH - Royal Institute of Technology, Stockholm, Sweden

and more...
This Book

361pp. Published August 2018

Scientific Research Publishing,Inc.,USA

Category:Computer Science & Communications

ISBN: 978-1-61896-590-5

(Hardcover) USD 109.00

ISBN: 978-1-61896-589-9

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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