Creating temperature dependent Ni-MH battery models for low power mobile devices

In this paper the methodology and the results of creating temperature dependent battery models for ambient intelligence applications is presented. First the measurement technology and the model generation process is presented in details, and then the characteristic features of the models are discussed.Comment: Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions

Ni-MH battery modelling for ambient intelligence applications

Mobile devices, like sensor networks and MEMS actuators use mobile power supplies to ensure energy for their operation. These are mostly batteries. The lifetime of the devices depends on the power consumption and on the quality and capacitance of the battery. Though the integrated circuits and their power consumption improve continually, their clock frequency also increases with the time, and the resultant power consumption seems not to vary, or slightly increase. On the other hand, the properties of batteries are developing much slower, necessitating the optimization of their usage on system level

Hybrid wireless sensor networks: A reliability, cost and energy-aware approach

Wireless sensor networks (WSNs) consist of spatially distributed sensor nodes to monitor physical or environmental conditions. These sensor nodes are typically battery-powered sensor nodes (BPSNs) and can rarely meet design goals of long network lifetime and high reliability. Energy-harvesting sensor nodes (EHSNs) that convert different types of energy to electrical energy are an alternative type of sensor nodes with a long lifetime but a high cost. Combining BPSNs and EHSNs has potential to deal with the conflicting design goals of long lifetime and reasonably low cost. In this study, the authors make new contributions by modelling a heterogeneous WSN consisting of both BPSNs and EHSNs and proposing a comprehensive cost function-based routing approach that integrates endto-end path reliability, cost and energy consumption for providing satisfactory quality of service to applications running on hybrid WSNs. Another contribution made in this work is the optimal deployment of EHSNs using a reliabilityimportance-analysis-based method to improve the end-to-end path reliability within hybrid WSNs