A model of Wireless Sensor Networks using context-awareness in logistic applications

Abstract

Although Wireless Sensor Networks (WSNn) are designed to operate with low power consumption, much of the research in this field focuses on improving the efficiency of resource usage. In many scenarios, WSNs are configured to monitor and transmit the observed data periodically. This can lead to duplication of traffic in the network if most of the sensed data does not change over time under normal conditions. In this paper, a flexible context-aware model of Wireless Sensor Networks (WSNs) is presented for use in logistic contexts to reduce that unnecessary information. By being aware of contexts, WSNs know which information is significant to transmit. Generated traffic load and energy efficiency are considered to illustrate the advantages of the proposed context-aware model.