An effective method for state-of-charge estimation in wireless sensor networks

ABSTRACT

This poster shows the work-in-progress results of an effective method for predicting the residual battery energy in WSN nodes including the battery behavior. This method uses a hybrid approach consisting of a deterministic part by counting credit points for any operation of the sensor node and a model-based State-of-Charge (SoC) estimation based on battery voltage and temperature. It is applied for Li-Ion accumulators on modified Tmote Sky motes. For demonstration purposes the method is used for cluster head selection in a cluster-based topology formation algorithm to ensure equal distribution of the cluster head role among the network nodes based on the residual energy.

REFERENCES

• 1: O. Younis, M. Krunz and S. Ramasubramanian: Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges. In: IEEE Network, vol. 20, issue 3, May 2006, pp. 20--25.
• 2: Chi Ma , Yuanyuan Yang, Battery-aware routing for streaming data transmissions in wireless sensor networks, Mobile Networks and Applications, v.11 n.5, p.757-767, October 2006 [doi>10.1007/s11036-006-7800-2]
• 3: V. Pop, H. Bergveld, P. Notten and P. Regtien. State-of-Charge Indication in Portable Applications. Proc. International Symposium on Industrial Electronics (ISIE 2005) Zagreb, Volume 3, 2005, pp. 1007--1011.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design

General Terms:
Algorithms, Design, Experimentation, Measurement

Keywords:
battery modeling, cluster topology, implementation, load balancing, state-of-charge, wireless sensor network