الملخص: EMR, or Electronic Medical Records, considered as the modern way of managing patients’ records. Providing electronic medical health records can improve the quality of service, increase the level of health care provided, save manpower, and resources. Due to the accelerated development in health care, and the adaption of computer and network technology, concerns like information misuse, privacy violation, and identity theft are evolving rapidly. However, depending on traditional access control, encryption, and physical security, each as independent solution, may not be sufficient in an environment where attacks from inside and outside can occur equally likely.

الملخص: The expansion in automation, digitalization, and network communication in the health care sector provided advantage and developed concerns regarding privacy protection and data security. The knowledge provided by medical and auxiliary data can reveal identity with high accuracy. The value of Electronic Medical Records comes from its content, the amount of personal information it hold, and its impact if disclosed to the public. Being identifiable based on none quasi-identifiers gives an indication of the problem complexity where data cannot be contained in one location.

الملخص: Sensor networks have been used in many applications such as health monitoring, structural monitoring, transportation networks, weather prediction, and border security. In most of these applications, sensors are used to report single phenomena/feature from the monitored field. This reporting is usually done frequently; however, the characteristics of the monitored field might not frequently change. On the other hand, there are some new types of smart sensors that can report multiple features (services) such as reporting temperature and humidity at the same time. We call such sensors as “multiservice sensors”. Using multiservice sensors in reporting to a centralized base station (sink node) and/or frequently report the field features generates a huge number of messages to be transmitted through the network; certainly this becomes worth in dense multi hop networks. In this paper, we propose a framework for single and multiservice sensor networks that is based on the idea of reporting only when there is a reasonable change in the monitored phenomena. Our framework is applicable for multipurpose sensor networks as well. The framework is tested against the flooding protocol and showed a considerable enhancement in prolonging the sensor network lifetime and saving sensors energy.

الملخص: Sensor networks have been used extensively in many applications to monitor different phenomena in the monitored field. These networks have to continue working without interruption for better monitoring as well as to satisfy the applications requirements. For such reasons, replacement of depleted and/or broken sensors is an essential task. In this paper, we propose to use energy map based prediction to define the blind spots in the monitored field. In addition, we propose three different algorithms for the best replacement. The first algorithm benefits from one of the important characteristic of the sensors which is the state switching. The second algorithm exploits the mobility to replace the energy depleted sensors. Finally, a distributed replacement algorithm is proposed for dense sensor networks to reduce the number of messages that need to be sent from/to the sink node. Different sets of experiments are conducted to show the effectiveness of our algorithms.

الملخص: This paper proposes a Billiards algorithm for two sensor deployment problems, random and deterministic deployment. The deployment considers both homogenous and heterogeneous sensors. The algorithm aims to maximize the coverage of a given monitored field with obstacles. The coverage is maximized by avoiding sensors overlapping and minimizing the uncovered areas. By adjusting the expansion ratio, the algorithm was able to find the best sensing ranges that maximize the field coverage. The conducted experiments point out the effect of expansion ratio, iterations between expansions, number of collisions, and mobility, on the overall coverage. At the same time, Billiards algorithm shows significant improvement in the coverage performance from the initial field’s coverage.

الملخص: EMR, or Electronic Medical Records, considered as the modern way of managing patients’ records. Providing electronic medical health records can improve the quality of service, increase the level of health care provided, save manpower, and resources. Due to the accelerated development in health care, and the adaption of computer and network technology, concerns like information misuse, privacy violation, and identity theft are evolving rapidly. However, depending on traditional access control, encryption, and physical security, each as independent solution, may not be sufficient in an environment where attacks from inside and outside can occur equally likely.

الملخص: The expansion in automation, digitalization, and network communication in the health care sector provided advantage and developed concerns regarding privacy protection and data security. The knowledge provided by medical and auxiliary data can reveal identity with high accuracy. The value of Electronic Medical Records comes from its content, the amount of personal information it hold, and its impact if disclosed to the public. Being identifiable based on none quasi-identifiers gives an indication of the problem complexity where data cannot be contained in one location.

الملخص: Sensor networks have been used in many applications such as health monitoring, structural monitoring, transportation networks, weather prediction, and border security. In most of these applications, sensors are used to report single phenomena/feature from the monitored field. This reporting is usually done frequently; however, the characteristics of the monitored field might not frequently change. On the other hand, there are some new types of smart sensors that can report multiple features (services) such as reporting temperature and humidity at the same time. We call such sensors as “multiservice sensors”. Using multiservice sensors in reporting to a centralized base station (sink node) and/or frequently report the field features generates a huge number of messages to be transmitted through the network; certainly this becomes worth in dense multi hop networks. In this paper, we propose a framework for single and multiservice sensor networks that is based on the idea of reporting only when there is a reasonable change in the monitored phenomena. Our framework is applicable for multipurpose sensor networks as well. The framework is tested against the flooding protocol and showed a considerable enhancement in prolonging the sensor network lifetime and saving sensors energy.

الملخص: Sensor networks have been used extensively in many applications to monitor different phenomena in the monitored field. These networks have to continue working without interruption for better monitoring as well as to satisfy the applications requirements. For such reasons, replacement of depleted and/or broken sensors is an essential task. In this paper, we propose to use energy map based prediction to define the blind spots in the monitored field. In addition, we propose three different algorithms for the best replacement. The first algorithm benefits from one of the important characteristic of the sensors which is the state switching. The second algorithm exploits the mobility to replace the energy depleted sensors. Finally, a distributed replacement algorithm is proposed for dense sensor networks to reduce the number of messages that need to be sent from/to the sink node. Different sets of experiments are conducted to show the effectiveness of our algorithms.

الملخص: This paper proposes a Billiards algorithm for two sensor deployment problems, random and deterministic deployment. The deployment considers both homogenous and heterogeneous sensors. The algorithm aims to maximize the coverage of a given monitored field with obstacles. The coverage is maximized by avoiding sensors overlapping and minimizing the uncovered areas. By adjusting the expansion ratio, the algorithm was able to find the best sensing ranges that maximize the field coverage. The conducted experiments point out the effect of expansion ratio, iterations between expansions, number of collisions, and mobility, on the overall coverage. At the same time, Billiards algorithm shows significant improvement in the coverage performance from the initial field’s coverage.