**Author details**

Shuai Li *Stevens Institute of Technology, USA*

Yangming Li

*Robot Sensor and Human-machine Interaction Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China*

### **7. References**


[17] Li, Y., Meng, M., Li, S., Chen, W. & Liang, H. [2008]. Particle filtering for range-based localization in wireless sensor networks, *Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on*, pp. 1629 –1634.

18 Will-be-set-by-IN-TECH

[1] Aalamifar, F., Vijay, G., Abedi Khoozani, P. & Ibnkahla, M. [2011]. Cognitive wireless sensor networks for highway safety, *Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications*, DIVANet '11, ACM,

[2] Akyildiz, I. F., Pompili, D. & Melodia, T. [2005]. Underwater acoustic sensor networks:

[3] Baggio, A. [2005]. Wireless sensor networks in precision agriculture, *Precision Agriculture*

[4] Batalin, M., Sukhatme, G. & Hattig, M. [2004]. Mobile robot navigation using a sensor network, *Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International*

[5] Ceriotti, M., Corra, M., D'Orazio, L., Doriguzzi, R., Facchin, D., Guna, S., Jesi, G., Cigno, R., Mottola, L., Murphy, A., Pescalli, M., Picco, G., Pregnolato, D. & Torghele, C. [2011]. Is there light at the ends of the tunnel? wireless sensor networks for adaptive lighting in road tunnels, *Information Processing in Sensor Networks (IPSN), 2011 10th International*

[6] Chen, W., Liang, H., Mei, T., You, Z., Miao, S., Li, S., Zhou, Y. & Meng, M. Q.-H. [2007]. Design and implementation of wireless sensor network for robot navigation.,

[7] Hu, W., Bulusu, N., Chou, C. T., Jha, S., Taylor, A. & Tran, V. N. [2009]. Design and evaluation of a hybrid sensor network for cane toad monitoring, *ACM Trans. Sen. Netw.*

[8] Kaemarungsi, K. & Krishnamurthy, P. [2004]. Properties of indoor received signal strength for wlan location fingerprinting, *Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004. The First Annual International Conference on*, pp. 14 –

[9] Khanafer, M., Guennoun, M. & Mouftah, H. T. [2009]. Wsn architectures for intelligent transportation systems, *Proceedings of the 3rd international conference on New technologies,*

[11] Li, S., Liu, B., Chen, B. & Lou, Y. [2012]. Neural network based mobile phone localization using bluetooth connectivity, *NEURAL COMPUTING & APPLICATIONS* (0): –. [12] Li, S., Meng, M. & Chen, W. [2007a]. Sp-nn: A novel neural network approach for path planning, *Robotics and Biomimetics, 2007. IEEE International Conference on*, pp. 1355 –1360. [13] Li, S., Meng, M. & Liang, H. [2007]. A localization error estimation method based on maximum likelihood for wireless sensor networks, *Mechatronics and Automation, 2007.*

[14] Li, S., Zhang, Z. & Ma, Y. [2007]. A sensor networks based method for detecting mine methane, *Information Acquisition, 2007. ICIA '07. International Conference on*, pp. 403 –407. [15] Li, Y. [2010]. *Research On Robust Mapping Methods In Unstructured Environments*, PhD

[16] Li, Y., Meng, M. & Chen, W. [2007b]. Data fusion based on rbf and nonparametric estimation for localization in wireless sensor networks, *Robotics and Biomimetics, 2007.*

*mobility and security*, NTMS'09, IEEE Press, Piscataway, NJ, USA, pp. 425–432. [10] Li, S., Chen, S., Lou, Y., Lu, B. & Liang, Y. [2012]. A recurrent neural network for

Research challenges, *AD HOC NETWORKS (ELSEVIER* **3**: 257–279.

**7. References**

pp. 1–22.

**5**(1): 4:1–4:28.

23.

New York, NY, USA, pp. 55–60.

*Conference on*, pp. 187 –198.

*Conference on*, Vol. 1, pp. 636 – 641 Vol.1.

*I. J. Information Acquisition* pp. 77–89.

inter-localization of mobile phones, *IJCNN 2012*.

*ICMA 2007. International Conference on*, pp. 348 –353.

thesis, University of Science and Technology of China.

*ROBIO 2007. IEEE International Conference on*, pp. 1361 –1365.


#### 20 Will-be-set-by-IN-TECH 308 Wireless Sensor Networks – Technology and Protocols

*international conference on Embedded networked sensor systems*, SenSys '04, ACM, New York, NY, USA, pp. 13–24.

[35] Zhou, J., Chen, Y., Leong, B. & Sundaramoorthy, P. S. [2010]. Practical 3d geographic routing for wireless sensor networks, *Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems*, SenSys '10, ACM, New York, NY, USA, pp. 337–350.

20 Will-be-set-by-IN-TECH

[35] Zhou, J., Chen, Y., Leong, B. & Sundaramoorthy, P. S. [2010]. Practical 3d geographic routing for wireless sensor networks, *Proceedings of the 8th ACM Conference on Embedded*

*Networked Sensor Systems*, SenSys '10, ACM, New York, NY, USA, pp. 337–350.

NY, USA, pp. 13–24.

308 Wireless Sensor Networks – Technology and Protocols

*international conference on Embedded networked sensor systems*, SenSys '04, ACM, New York,

*Edited by Mohammad A. Matin*

This book explores both the state-of-the-art and the latest developments in wireless sensor networks technology. It describes the fundamental concepts and practical aspects of wireless sensor networks and addresses challenges faced in their design, analysis and deployment. It is believed that the book will serve as a comprehensive reference for graduate and undergraduate senior students who seek to learn the latest developments in wireless sensor networks.

Photo by jamesteohart / iStock

Wireless Sensor Networks - Technology and Protocols

Wireless Sensor Networks

Technology and Protocols

*Edited by Mohammad A. Matin*