Data Mining Practical Machine Learning Tools and Techniques

In the last years, wireless sensor networks (WSNs) have gained increasing attention from both the research community and actual users. As sensor nodes are generally battery-powered devices, the critical aspects to face concern how to reduce the energy consumption of nodes, so that the network lifetime can be extended to reasonable times. In this paper we first break down the energy consumption for the components of a typical sensor node, and discuss the main directions to energy conservation in WSNs. Then, we present a systematic and comprehensive taxonomy of the energy conservation schemes, which are subsequently discussed in depth. Special attention has been devoted to promising solutions which have not yet obtained a wide attention in the literature, such as techniques for energy efficient data acquisition. Finally we conclude the paper with insights for research directions about energy conservation in WSNs.

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Energy conservation in wireless sensor networks: A survey

For 100 years, there has been no change in the basic structure of the electrical power grid. Experiences have shown that the hierarchical, centrally controlled grid of the 20th Century is ill-suited to the needs of the 21st Century. To address the challenges of the existing power grid, the new concept of smart grid has emerged. The smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high-power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. While current power systems are based on a solid information and communication infrastructure, the new smart grid needs a different and much more complex one, as its dimension is much larger. This paper addresses critical issues on smart grid technologies primarily in terms of information and communication technology (ICT) issues and opportunities. The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field. It is expected that this paper will provide a better understanding of the technologies, potential advantages and research challenges of the smart grid and provoke interest among the research community to further explore this promising research area.

/pdf/smart-grid-technologies-communication-technologies-and-1t7ewfweku.pdf

Smart Grid Technologies: Communication Technologies and Standards

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

Sphere Packings, Lattices and Groups

In this contribution, we present frame delay measurement results and calculations using the revised MIMO latency definition in the cases with different input and output link rates and discontinuous frames on input. Notice: This contribution has been prepared to assist the ATM Forum. It is offered to the Forum as a basis for discussion and is not a binding proposal on the part of any of the contributing organizations. The statements are subject to change in form and content after further study. Specifically, the contributors reserve the right to add to, amend or modify the statements contained herein.

https://www.cse.wustl.edu/~jain/atmf/ftp/af_prme.pdf

Measurement Experiences with the Revised MIMO Latency Definition

Energy-saving in wireless sensor networks considering mobile sensor nodes, single and multi events.

In this paper, we study the issue of defending against a wireless sensor network (WSN) that has been deployed by a malicious enemy agent in an area of interest to us. While there can be many approaches to defend against maliciously deployed WSNs, we propose the design of a localization centric approach. Specifically, the problem we address is: given an enemy deployed WSN in an area of interest to us, how can we determine locations of the sensors without co-operating with the sensors themselves during localization. In our approach, we employ a physically mobile agent called the localizer (e.g., a mobile robot) to move in the sensor network and detect raw sensor-to-sensor communication signals. However, the localizer has no information on the message content or the sensor id of any signal (possibly due to message encryption) since the sensors belong to an enemy agent. Based on estimating the angle of arrival and the received signal strength, we design a protocol for the localizer to determine sensor positions. The salient features of our protocol are efficient association of signals with sensors, and filtering many likely false locations over time. Sound theoretical analysis and extensive simulations are used to demonstrate the performance of our protocol from the perspective of localization accuracy.

/pdf/localizing-sensor-networks-in-un-friendly-environments-1n53rlh616.pdf

Localizing sensor networks in un-friendly environments

Wireless communications are central part of the new military doctrines, based on interacting networks in the physical, information, cognitive, and social domains. In particular, it is important to enable flexible and secure communications among groups of stationary nodes, such as sensor nodes that collect information about the battlefield, and mobile nodes that operate in the same environment, such as solders, vehicles, and so on. The security of information in such highly dynamic environment is paramount. Therefore, we have developed a new security scheme based on key distribution among stationary sensor and ad hoc networks, and mobile nodes. Our scheme is based on key predistribution using a large key pool, which is segmented into smaller key pools. Each of these segments acts as the key pool for different stationary sensor networks. The mobile nodes get keys from the aggregate of all these segments. The aggregate key pool can have some segments which can be used for future deployments. We have performed extensive analysis and simulations to validate the proposed scheme.

Arjan Durresi

Papers

Measurement Experiences with the Revised MIMO Latency Definition

Energy-saving in wireless sensor networks considering mobile sensor nodes, single and multi events.

Localizing sensor networks in un-friendly environments

Security of Mobile and Heterogeneous Wireless Networks in Battlefields

A geo-location and trust-based framework with community detection algorithms to filter attackers in 5G social networks