http://www.eecs.ucf.edu/~dcm/Teaching/COT4810-Spring2011/Literature/SensorNetworksSurvey.pdf

Wireless sensor networks: a survey

https://www.science.smith.edu/~jcardell/Courses/EGR328/Readings/WSNSurvey2.pdf

Wireless sensor network survey

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this paper, we present a survey of cloud computing, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges. The aim of this paper is to provide a better understanding of the design challenges of cloud computing and identify important research directions in this increasingly important area.

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Cloud computing: state-of-the-art and research challenges

The term ‘‘Internet-of-Things’’ is used as an umbrella keyword for covering various aspects related to the extension of the Internet and the Web into the physical realm, by means of the widespread deployment of spatially distributed devices with embedded identification, sensing and/or actuation capabilities. Internet-of-Things envisions a future in which digital and physical entities can be linked, by means of appropriate information and communication technologies, to enable a whole new class of applications and services. In this article, we present a survey of technologies, applications and research challenges for Internetof-Things.

/pdf/internet-of-things-vision-applications-and-research-4xfstaiv80.pdf

Internet of things: Vision, applications and research challenges

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.

/pdf/energy-conservation-in-wireless-sensor-networks-a-survey-1bl7d2obnm.pdf

Energy conservation in wireless sensor networks: A survey

Balancing electricity supply and demand is a complex task. Renewable energy sources are often intermittent, while electrical loads vary throughout the day. This can result in an abundant supply that suppresses spot prices in one region, while another region simultaneously experiences tight supply margins and price spikes. Connecting these two regions through electrical interconnectors would enable greater utilization of renewable energy, but this can be expensive and is unfeasible for distant regions, such as between continents. However, datacenters are becoming ubiquitous around the world and are linked through fiber connections. This paper proposes a virtual interconnector (VIC) scheme using fiber to dynamically move energy demand, in the form of computation, to datacenters in other market regions with surplus low cost and renewable energy. This increases the global renewable penetration without requiring expensive grid interconnections. The associated benefits for the datacenter operator, the electricity grid controller, consumers, and the environment are discussed.

Balancing Power Systems With Datacenters Using a Virtual Interconnector

Through the last decades, we are witnessing rapid changes in the world of computing. Computing products and services are becoming more consumer-oriented and personalized. In this emerging paradigm, the better we understand individual users, their history, preference, and context, the better we can improve their experiences and maintain their loyalty. Mobile phones, due to their rich sensing modalities, constant cloud connectivity, and personal association to the users, provide an interesting platform for sensing and understanding human as subjective entities more than objects in motion. In this paper, we articulate the vision of subjective sensing and its role in advancing mobile services. We present the Munich project and summarize some initial results on continuous low power mobile sensing, accuracy and latency tradeoff, and feature extractions for mobile search and ads.

/pdf/subjective-sensing-mission-statement-and-a-research-agenda-3e9wylrbtb.pdf

Subjective Sensing: Mission Statement and A Research Agenda

In 2008, the world was hit by some of the worst natural disasters. The Cyclone Nargis killed over 140,000 people and led to 10 billion financial losses. The Great Sichuan Earthquake caused over 60,000 deaths and 20 billion of estimated property damages. How do we get prepared for natural hazards? How do we enhance our resilience to natural hazards? Part of the answer lies in innovative techniques to monitor, model, and predict environmental changes that potentially lead to natural hazards. SenseWeb addresses this need by providing a scientific investigation platform that enables global sharing of sensory streams and real-time exploration of environmental measurements. By allowing users to create heterogeneous sensors and register distributed data feeds, SenseWeb is able to federate individually deployed sensor networks into a large-scale, unified sensing system across the globe. SenseWeb provides a web-based frontend, SensorMap, for end-users to browse real-time measurements, to discover their spatial correlations, as well as to explore historic trends.

/pdf/senseweb-sharing-and-browsing-environmental-changes-in-real-2hv7e5lvg9.pdf

SenseWeb: Sharing and Browsing Environmental Changes in Real Time

The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depends on several factors which cannot be accounted at design time, such as environmental obstacles to sensing. We propose the use of mobility to overcome the effect of unpredictable environmental influence and to adapt to run time dynamics. Now, mobility with its dependencies such as precise localization and navigation is expensive in terms of hardware resources and energy constraints, and may not be feasible in compact, densely deployed and widespread sensor nodes. We present a method based on low complexity and low energy actuation primitives which are feasible for implementation in sensor networks. We prove how these primitives improve the detection capabilities with theoretical analysis, extensive simulations and real world experiments. The significant coverage advantage recurrent in our investigation justifies our own and other parallel ongoing work in the implementation and refinement of self-actuated systems.

Sensing Uncertainty Reduction Using Low Complexity Actuation

This paper presents information theoretic bounds on the rate-distortion behaviour of multiple distributed transmitters communicating data to a common fusion center.

Aman Kansal

Papers

Balancing Power Systems With Datacenters Using a Virtual Interconnector

Subjective Sensing: Mission Statement and A Research Agenda

SenseWeb: Sharing and Browsing Environmental Changes in Real Time

Sensing Uncertainty Reduction Using Low Complexity Actuation

Bounds on the Rate-Distortion of Multiple Cooperative Gaussian Sources