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.

Abstract:Collection of information for management in logistics is of great importance today. Many applications in logistics are currently starting to use modern technologies such as RFID. However, these technologies have not provided enough information for management such as the real-time condition of goods or online item tracking during transport. In this paper, a model for Wireless Sensor Networks (WSNs) in logistics is proposed under the consideration of mobility and multiple WSN domains. With the use of WSNs, relevant information can be monitored down to the level of individual logistic items. For the communication reliability of sensor networks, a high packet reception ratio (PRR) is desired. To achieve this high PRR, many techniques are used in our model to conserve energy and to improve the reliability. The results show that a PRR of 90% can be reached in our simulation scenarios using the proposed model. Moreover, a logistic scenario in a harbor is examined as an example to investigate the capability to connect automatically in multiple sensor networks.

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