Value of Information Analysis in the Smart Agriculture Scenario using Wireless Internet of Things

openThe trend of Internet of Things development in the agriculture sector has led a high demand towards advanced technological settings with high efficiency and effectiveness. Often, the constructed sensor network suffers from excessive energy consumption due to the existence of collisions, and/or redundant data transmissions (time and space redundancy). In recent years, researchers have been trying to resolve this phenomenon by introducing a new quantitative metric, named Value of Information, which determines how valuable a generated information is. We want to make sure that the cost we spend for transmitting a packet corresponds to the value of the information that a packet submitted. In this thesis, we analyze such a metric from the agriculture point of view. Practical applications of this rationale include the reduction of update frequency by sensor considering the cost and network models that consider the transmissions of valuable packet only. These problems are evaluated through numerical simulation, in practical implementation contexts of a Lora network in real plantation and from a general perspective of future implementation.The trend of Internet of Things development in the agriculture sector has led a high demand towards advanced technological settings with high efficiency and effectiveness. Often, the constructed sensor network suffers from excessive energy consumption due to the existence of collisions, and/or redundant data transmissions (time and space redundancy). In recent years, researchers have been trying to resolve this phenomenon by introducing a new quantitative metric, named Value of Information, which determines how valuable a generated information is. We want to make sure that the cost we spend for transmitting a packet corresponds to the value of the information that a packet submitted. In this thesis, we analyze such a metric from the agriculture point of view. Practical applications of this rationale include the reduction of update frequency by sensor considering the cost and network models that consider the transmissions of valuable packet only. These problems are evaluated through numerical simulation, in practical implementation contexts of a Lora network in real plantation and from a general perspective of future implementation

Investigating Value of Information in Future Vehicular Communications

The next generations of vehicles are expected to be equipped with sophisticated sensors to support advanced automotive services. The large volume of data generated by such applications will likely put a strain on the vehicular communication technologies, which may be unable to guarantee the required quality of service. In this scenario, it is fundamental to assess the value of information (VoI) provided by each data source, to prioritize the transmissions that have greatest importance for the target applications. In this paper, we characterize VoI in future vehicular networks, and investigate efficient data dissemination methods to tackle capacity issues. Through a simulation study, we show how analytic hierarchy multicriteria decision processes can be exploited to determine the value of sensory observations as a function of space, time, and quality criteria