Research on Clustering Routing Algorithms in Wireless Sensor Networks

compared with the traditional wireless networks, wireless sensor networks have energy constraints, low-data-rate of high redundant and data flow of high-to-one, and so on. Energy effectiveness is the key performance indicators of wireless sensor networks. Based on the analysis of energy management strategy in the wireless sensor networks, the main factors affecting energy consumption are: perceptual data, data processing and radio communications, the radio communication is the main part of energy consumption. In the wireless sensor networks, the realization of energy-efficiency could be improved while in the different layers of communication protocol stack. However, as the basis of the limitations of the physical layer, the improvement is focus on design and implementation of network-layer protocol. The researchers agreed that the clustering of nodes in wireless sensor networks is an effective program of energy conservation. This article dedicated to research the clustering routing algorithm in wireless sensor networks.

[1]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[2]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[3]  Deborah Estrin,et al.  Time synchronization for wireless sensor networks , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[4]  Jerome P. Lynch,et al.  Two-tiered wireless sensor network architecture for structural health monitoring , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[5]  Gregory J. Pottie,et al.  Wireless sensor networks , 1998, 1998 Information Theory Workshop (Cat. No.98EX131).

[6]  M. Lehtonen,et al.  A wireless sensor concept for managing electrical distribution networks , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[7]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[8]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[9]  10 emerging technologies that will change your world , 2004, IEEE Engineering Management Review.

[10]  Dharma P. Agrawal,et al.  Bio-inspired mobility in environment aware wireless sensor networks , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[11]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) using AOA , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[12]  Yong Yao,et al.  The cougar approach to in-network query processing in sensor networks , 2002, SGMD.

[13]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.