The system is environment monitoring service based on Wireless Sensor Networks (WSN). Users can know temperature, humidity, light, and CO2 level in real time. Excessive electricity consumption by lighting in the office can be saved and the quality of the office environment can become better by controlling lighting and CO2 level.

Designing a new sensor board is costly, especially for a production in a small quantity. By modularizing common functionalities, a large portion of the sensor board can be reused. In this work, we propose an Extension Board, a sensor board which is modularized into 3 parts. Power module, and MCU and RF module are shared, and only sensing module is redesigned for each sensor board. Diverse sensing modules are produced. The process was simple and inexpensive.

PEAKSAVE system is an energy monitoring service based on Wireless Sensor Networks (WSN). A smartphone is an important point of a system. Users can understand the energy consumption of each electric device and lighting in real time. Responsive energy monitoring service can help in reducing the waste of energy, especially in shaving electric load in a peak time.

Modern buildings include an indoor climate control system, installed and operated to maintain a comfortable environment for the building occupants. However, these climate control systems consume a significant amount of energy due to an inefficient control algorithm. Improving energy efficiency is critical to reducing energy consumption, costs, and the emissions of greenhouse gases. In this paper, we present INPRESS: Indoor Climate Prediction and Evaluation System for Energy Efficiency using Sensor Networks. INPRESS uses meteorological weather data and the indoor climate conditions collected by sensor nodes to evaluate and improve the energy efficient climate control of an indoor space.

Vehicle tracking system is built for a container terminal. In the system, reference nodes are fixed at known locations. They provide reference locations to a mobile node, which is installed in a vehicle. Received Signal Strength Indicator (RSSI) is measured, and the measured data is gathered in a backend server. The backend server analyzes the data, and estimates the location of the mobile node. Filters are added to handle transient fluctuation in RF environment. SonnoOne mote is made to be used as a mobile node. It contains MG2455 chip from RadioPulse, which combines 8051 MCU and IEEE 802.15.4 radio. We expect the cost will be below $20, and the low cost will enable a large number of mobile nodes to be deployed in a container terminal.

Micro Energy Efficiency System (MEES) provides energy saving while enabling each individual office in a large building to control heating, cooling, and electricity with its own policy. The usage of a decentralized independent control of each office, rather than a centralized one, is common in Korea. MEES provides measuring and controlling points at multiple granularities. An installation became easy and efficient using QR code, and the user configuration through an energy web portal further enhances the energy efficiency.

U-City is a city where diverse public information is provided through IT technology. In the past, IT infrastructure for public information was not considered in city planning. However, in recent construction of new cities, this kind of infrastructure is becoming necessary. Safety, transportation, and weather information are gathered and provided to residents through the Internet, mobile devices, etc [1]. To provide this kind of information, local governments operates U-City control center, and there is an issue of increased operating cost of the city. To solve this problem, U-City business platform is designed which can incorporate diverse commercial services. Different from public information platform, a private sector can participate and provide services. This work suggests Business Service Platform (BSP) system structure where USN-based services can be provided in U-City business platform. Then, USN-based service applications are introduced on U-City platform. Business Service Platform (BSP) is a service platform of U-City for services in a private sector, and provides overall functionalities required for the creation, distribution, and billing. A service provider for U-City can develop a new application using BSP. It can also register, distribute, and handle billing using functionalities of BSP. BSP started with a target advertisement service related to public transportation information as its initial service, however USN technology in diverse areas are expected to be applied to BSP in the future. To apply such diverse USN to BSP, a general framework should be provided to integrate USN, and a system is needed that each service provider can control. In this demo, we will explain U-City service platform, which will be deployed at CHEONGRA zone of Korea, and how it is integrated to USN to provide healthcare, smart grid services, and finally major system components.

In modern society, a large portion of the population suffers from sleep disorder. Some sleep disorders are serious enough to interfere with functioning of daily lives. Therefore knowing how well one sleeps is an important health indicator that can lead to more aggressive actions. In this demo, we present SNORES: Sensor Networks Oriented REsearch in Sleep. SNORES is an in-home sleep monitoring system that is inexpensive, easy-to-install, and less intrusive.

HONS (Hybrid Open Networking Stack) is a system which can service diverse types of sensor nodes as a single network. By defining open packet format of IEEE 802.15.4 standard, it can form low-power multi-hop network of diverse sensors. HONS system is composed of routers and wireless sensor nodes. Routers are motes with wired power and form the basic backbone of the multi-hop network. Wireless sensor nodes are motes powered by battery, and operate in a lower-power mode, and are attached to the multi-hop network formed by routers.

A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed, implemented, deployed and tested on the 4200ft long main span and the south tower of the Golden Gate Bridge (GGB). Ambient structural vibrations are reliably measured at a low cost and without interfering with the operation of the bridge. Requirements that SHM imposes on WSN are identified and new solutions to meet these requirements are proposed and implemented. In the GGB deployment, 64 nodes are distributed over the main span and the tower, collecting ambient vibrations synchronously at 1kHz rate, with less than 10μs jitter, and with an accuracy of 30μG. The sampled data is collected reliably over a 46-hop network, with a bandwidth of 441B/s at the 46th hop. The collected data agrees with theoretical models and previous studies of the bridge. The deployment is the largest WSN for SHM.

We present Flush, a reliable, high goodput bulk data transport protocol for wireless sensor networks. Flush provides end-to-end reliability, reduces transfer time, and adapts to time-varying network conditions. It achieves these properties using end-to-end acknowledgments, implicit snooping of control information, and a rate-control algorithm that operates at each hop along a flow. Using several real network topologies, we show that Flush closely tracks or exceeds the maximum goodput achievable by a hand-tuned but fixed rate for each hop over a wide range of path lengths and varying network conditions. Flush is scalable; its effective bandwidth over a 48-hop wireless network is approximately one-third of the rate achievable over one hop. The design of Flush is simplified by assuming that different flows do not interfere with each other, a reasonable restriction for many sensornet applications that collect bulk data in a coordinated fashion, like structural health monitoring, volcanic activity monitoring, or protocol evaluation. We collected all of the performance data presented in this paper using Flush itself.

We present the philosophy, design, and initial evaluation of the Trio Testbed, a new outdoor sensor network deployment that consists of 557 solar-powered motes, seven gateway nodes, and a root server. The testbed covers an area of approximately 50,000 square meters and was in continuous operation during the last four months of 2005. This new testbed in one of the largest solar-powered outdoor sensor networks ever constructed and it offers a unique platform on which both systems and application software can be tested safely at scale. The testbed is based on Trio, a new mote platform that provides sustainable operation, enables efficient in situ interaction, and supports fail-safe programming. The motivation behind this testbed was to evaluate robust multi-target tracking algorithms at scale. However, using the testbed has stressed the system software, networking protocols, and management tools in ways that have exposed subtle but serious weaknesses that were never discovered using indoor testbeds or smaller deployments. We have been iteratively improving our support software, with the eventual aim of creating a stable hardware-software platform for sustainable, scalable, and flexible testbed deployments.

A main challenge with developing applications for wireless embedded systems is the lack of visibility and control during execution of an application. In this paper, we present a tool suite called Marionette that provides the ability to call functions and to read or write variables on pre-compiled, embedded programs at run-time, without requiring the programmer to add any special code to the application. This rich interface facilitates interactive development and debugging at minimal cost to the node.

No abstract available.

Many applications in wireless sensor networks, including structure monitoring, require collecting all data without loss from the nodes. End-to-end retransmission, which is used in the Internet for reliable transport, becomes very inefficient in wireless sensor networks, since wireless communication, and constrained resources pose new challenges. We look at factors affecting reliability, and search for efficient combinations of the possible options. Information redundancy like retransmission, and erasure codes, can be used. Route fix, which tries alternative next hop after some failures, also reduces packet loss. We implemented and evaluated these options on a real test bed of Berkeley Mica2Dot motes. Our experimental results show that each option overcomes different kinds of failures. Link-level retransmission is efficient but limited in achieving reliability. Erasure code enables very high reliability by tolerating packet losses. Route fix responds to link failures quickly. Previous work had found it difficult to increase reliability past a certain threshold. We show that the right combination of primitives can yield more than 99% reliability with low overhead, providing a viable alternative to end-to-end retransmission over multiple hops.