Abstract
The Logistics monitoring system is one of the boons of technology innovations and cater to the fields of freight management, fleet management, workforce management and trip automation. The limited power supply of the batteries is the key concern in Wireless Sensor Network even with the alternate energy sources. The energy dissipation model of all the sensors are not the same as some of the routes have more traffic and some of the nodes play the vital role of cluster head. It is necessary to manage the energy of nodes and all the operations are to be energy-aware, to extend the lifetime of the Network. This paper discusses about a lifetime model with the energy dissipation method to predict the life of nodes and tune the algorithms accordingly, so that the entire Logistic system can be autonomous and self managed. The knowledge representation and application of knowledge both are equally important, the trend on energy-dissipation-knowledge and the trend on network-communication operation-knowledge, based on the mathematical model of the network, energy dissipation and prediction of the lifetime of the sensors in logistics domain are considered in this paper.
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We would like to thank anonymous reviewers whose careful reading and constructive criticism of earlier draft helped to improve the clarity and content of this paper.
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Thangaraj, M., Anuradha, S. (2015). WSN Lifetime Management with the Predictive Energy Management Mechanism for the Autonomous Cooperative Smart Logistics System - A Real World Knowledge Representation Scenario. In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_40
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DOI: https://doi.org/10.1007/978-3-319-21009-4_40
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