Making Everyday Life Easier Using Dense Sensor Networks

Conner, W. Steven; Krishnamurthy, L.; Want, Roy

doi:10.1007/3-540-45427-6_6

Cited by 30 publications

(24 citation statements)

References 6 publications

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“…Passive motion detection and tracking, i.e., detection of the movement and localization of nearby un-tagged objects in the environment the infrared or acoustic signals they unwittingly produce, has been a representative application for wireless sensor networks [1,3,2,19,7]. Such an application showcases the energy tradeoffs required in collaboration, using distributed or centralized algorithms [19].…”

Section: Physical Security Using Wireless Tagsmentioning

confidence: 99%

Robust location distinction using temporal link signatures

Patwari

Kasera

2007

Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking

209

169

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The ability of a receiver to determine when a transmitter has changed location is important for energy conservation in wireless sensor networks, for physical security of radiotagged objects, and for wireless network security in detection of replication attacks. In this paper, we propose using a measured temporal link signature to uniquely identify the link between a transmitter and a receiver. When the transmitter changes location, or if an attacker at a different location assumes the identity of the transmitter, the proposed link distinction algorithm reliably detects the change in the physical channel. This detection can be performed at a single receiver or collaboratively by multiple receivers. We record over 9,000 link signatures at different locations and over time to demonstrate that our method significantly increases the detection rate and reduces the false alarm rate, in comparison to existing methods.

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Section: Physical Security Using Wireless Tagsmentioning

confidence: 99%

Robust location distinction using temporal link signatures

Patwari

Kasera

2007

Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking

209

169

View full text Add to dashboard Cite

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“…For example, the Great Duck Island project [32] for sensor network habitat monitoring was one of the first systems to use a handheld Personal Digital Assistant (PDA) as a network management tool. Going beyond network management to actual sensor data, in [33] the authors use a PDA to display the availability of nearby conference rooms. Similarly, Maroti et al's [34] sniper localization system uses a handheld as an output device, i.e., to display the sniper's location as computed by the system.…”

Section: Browsing Sensor Networkmentioning

confidence: 99%

Ubicorder: A Mobile Device for Situated Interactions With Sensor Networks

Mittal

Paradiso

2011

IEEE Sensors J.

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Abstract-The Ubicorder is a mobile, location and orientation aware device for browsing and interacting with real-time sensor network data. In addition to browsing data, the Ubicorder also provides a graphical user interface (GUI) that users can use to define inference rules. These inference rules detect sensor data patterns, and translate them to higher-order events. Rules can also be recursively combined to form an expressive and robust vocabulary for detecting real-world phenomena, thus enabling users to script higher level and relevant responses to distributed sensor stimuli. The Ubicorder's mobile, handheld form-factor enables users to easily bring the device to the phenomena of interest, hence simultaneously observe or cause real-world stimuli and manipulate in-situ the event detection rules easily using its graphical interface. In a first-use user study, participants without any prior sensor network experience rated the Ubicorder highly for its usefulness and usability when interacting with a sensor network.

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“…Advances in wireless networking have opened up new opportunities in a variety of applications [1] including healthcare systems [2][3][4][5][6][7][8][9]. In fact, the healthcare market is among the fastest growing markets for WiFi and other Wireless LAN Technologies [7].…”

Section: Introductionmentioning

confidence: 99%

Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals

Hande

Polk

Walker

et al. 2006

Sensors

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Patient vital sign monitoring within hospitals requires the use of non-invasive sensors that are hardwired to bedside monitors. This set-up is cumbersome, forcing the patient to be confined to his hospital bed thereby not allowing him to move around freely within the hospital premises. This paper addresses the use of wireless sensor networks for monitoring patient vital sign data in a hospital setting. Crossbow MICAz motes have been used to design a robust mesh network that routes patient data to a remote base station within the hospital premises. A hospital care giver can have access to this data at any point in time and doesn't have to be physically present in the patient's room to review the readings. The network infrastructure nodes are self-powered and draw energy from overhead 34W fluorescent lights via solar panels. The sensor nodes can be interfaced to a variety of vital sign sensors such as electrocardiograms (ECGs), pulse-oximeters and blood pressure (BP) sensors. In order to verify a completely functioning system, a commercial BP/heart-rate monitor (BPM) was interfaced to a wireless sensor node. The sensor node controls the BPM to initiate a reading, then collects the data and forwards it to the base station. An attractive graphical user interface (GUI) was designed to store and display patient data on the base station PC. The set-up was found to be extremely robust with low power consumption.

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Making Everyday Life Easier Using Dense Sensor Networks

Cited by 30 publications

References 6 publications

Robust location distinction using temporal link signatures

Robust location distinction using temporal link signatures

Ubicorder: A Mobile Device for Situated Interactions With Sensor Networks

Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals

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