A New Energy-Efficient, Scalable and Robust Architecture for Wireless Sensor Networks

The major problem for most of wireless sensor networks applications is the energy consumption. In this paper we propose a new architecture called EDETA (Energy-efficient aDaptive hiErarchical and robusT Architecture) optimized to save node's power. This architecture is scalable and suitable for heterogeneous and homogeneous wireless sensor networks, supports single or multiple sinks, and also provides features increasely-demanded in the current applications such as fault tolerance and bounded-time response communications. The proposed protocol is able to autoconfigure, and it is based on two-levels hierarchical architecture. The lower level is based on cluster organization, while the upper one is formed as a dynamic tree of clusters heads to send the data to the sink. Our experiments, based on real energy measures, show that EDETA can reduce the energy consumption in typical applications in a factor of 8x compared with most popular power-aware protocols. Furthermore, EDETA multiplies the lifetime of the sensor network while providing, in addition, extra-features such as fault-tolerant mechanisms and bounded time.

[1]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[2]  John A. Stankovic,et al.  Radio-Triggered Wake-Up for Wireless Sensor Networks , 2005, Real-Time Systems.

[3]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[4]  A. Bonastre,et al.  Performance Study of Non-beaconed and Beacon-Enabled Modes in IEEE 802.15.4 under Bluetooth Interference , 2008, 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies.

[5]  Juan Li,et al.  An Energy Efficient Routing Algorithm for Wireless Sensor Networks , 2009, 2009 International Symposium on Computer Network and Multimedia Technology.

[6]  Jaesik Lee,et al.  An Energy-Efficient Distributed Unequal Clustering Protocol for Wireless Sensor Networks , 2008 .

[7]  Guangyan Huang,et al.  Dynamic Minimal Spanning Tree Routing Protocol for Large Wireless Sensor Networks , 2006, 2006 1ST IEEE Conference on Industrial Electronics and Applications.

[8]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[9]  A. Bonastre,et al.  New challenges in wireless sensor networks: fault tolerance and real time , 2005, 2005 IEEE International Conference on Industrial Technology.

[10]  G Athisha,et al.  Energy Efficient Wireless Sensor Networks based on QoS Enhanced Base Station controlled Dynamic Clustering Protocol , 2011 .