Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. Technical report, U.C. Berkeley, 2001. Home/Search Document Details and Download
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Rigid Body Formation Control of a Multi-Agent Mobile ad .. - McMickell, Goodwine.. (2003) (Correct)
....robot s odomentry. MICAbots are actuated using two modified submicro servomotors that provide 25 oz inches of torque. A MICA platform for its central processing and communication. Its central processor is an ATMEGA103L running at 4 MHz. This microcontroller has 128 KB of memory and 4 KB of RAM [8]. We use two PWM channels provided by the microcontroller. Additionally, it has an AT90LS2343 flashbased microcontroller which can be used for wireless reprogramming. Communication is accomplished via an RF Monolithic TR1000 transceiver at rates up to 115 KB [7, 8] The MICA platform also has an ....
....128 KB of memory and 4 KB of RAM [8] We use two PWM channels provided by the microcontroller. Additionally, it has an AT90LS2343 flashbased microcontroller which can be used for wireless reprogramming. Communication is accomplished via an RF Monolithic TR1000 transceiver at rates up to 115 KB [7, 8]. The MICA platform also has an external UART and SPI port. A DS2401 silicon serial number provides each MICA platform with a unique identification number. The MICAbot is powered by two separate power sources. The MICA platform is powered by two 1.2 V AA batteries, which last for approximately ....
Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. In submitted to ASPLOS, 2002.
MICAbot: A Robotic Platform for Large-Scale Distributed .. - McMickell, Goodwine.. (2003) (1 citation) (Correct)
....8 1.50 1.20 9 12.0 9.60 10 3.50 2.80 Average 5.73 4.58 TABLE I. Odometry error of the MICAbot with a desired distance of 125 cm. sensor board with a large array of sensing capabilities, which provides a flexible basis for changing experimental needs. MICAbot uses the Berkeley MICA platform [7], 10] for its central processing and communication. The MICA platform contains several commercially available sensor boards and is currently being used in several largescale projects [15] MICAbots interface board provides a separate I O expansion port for easily adding and removing these sensor ....
....degree radius. We correct the trajectory problem with a PD software controller. B. Electrical Design The MICAbot uses the MICA platform for its central processing and communication. Its central processor is an ATMEGA103L running at 4 MHz. This microcontroller has 128 KB of memory and 4 KB of RAM [7]. We use two PWM channels provided by the microcontroller, PWM1A and PWM1B, to control the DC motors. The PWM frequency is 4 kHz with 2048 steps between the maximum positive and negative voltages. Additionally, it has an AT90LS2343 flash based microcontroller which can be used for wireless ....
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Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. In submitted to ASPLOS, 2002.
Optimal and Global Time Synchronization in Sensornets - Karp, Elson, Estrin, Shenker (2003) (1 citation) (Correct)
....Our interest here is in synchronization algorithms that do not require In our previous notation where t j t i a ij b ij , a ij represents the relative clock skew and b ij represents the relative clock offset. specific underlying networks to function. Some synchronization designs, such as [9, 7], integrate the MAC with the time synchronization procedure. While our discussion does not make assumptions about the underlying hardware and MAC, the results would benefit from these MAC specific features to the extent that they reduce the magnitude of the receive time errors. Another quite ....
HILL, J., AND CULLER, D. A wireless embedded sensor architecture for system-level optimization. Tech. rep., U.C. Berkeley, 2001.
Query Processing for Sensor Networks - Yao, Gehrke (2003) (32 citations) (Correct)
....and notice is given that copying is by permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and or special permission from the Endowment. Proceedings of the 2003 CIDR Conference of Linux or Windows CE . NET [2, 1] Figure 1 shows a Berkeley MICA Mote[13], one of the platforms available commercially today, and Figure 2 shows its hardware characteristics. Sensor nodes come in a variety of hardware configurations, from nodes connected to the local LAN attached to permanent power sources to nodes communicating via wireless multi hop RF radio ....
....drops packets. 28] Power consumption. Sensor nodes have limited supply of energy, and thus energy conservation needs to be of the main system design considerations of any sensor network application. For example, the MICA motes are powered by two AA batteries, that provide about 2000mAh [13], powering the mote for approximately one year in the idle state and for one week under full load. Computation. Sensor nodes have limited computing power and memory sizes. This restricts the types of data processing algorithms on a sensor node, and it restricts the sizes of intermediate ....
J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Submitted for publication, 2002.
ARRIVE: Algorithm for Robust Routing in Volatile Environments - Karlof, Li, Polastre (2002) (Correct)
....of ARRIVE, we developed two simulation environments. The goal of these environments is to model an actual sensor network architecture while being able to control the environment to study the reactivity of our algorithm. The reference platform for ARRIVE is the Berkeley MICA hardware platform [18]. The platform features an Atmel Atmega103L processor with 128 kilobytes of instruction memory and an RFM TR1000 radio operating at 40 kilobits per second using amplitude shift keying. Previous research has shown that node to node communication in sensor networks is unreliable [19] As a result, ....
Jason Hill and David Culler, "A wireless embedded sensor architecture for system-level optimization," in Submission to USENIX ASPLOS '02, 2002.
Fine-Grained Network Time Synchronization using Reference.. - Elson, Girod, Estrin (2002) (78 citations) (Correct)
....offers latency and determinism guarantees in fixed topologies. In contrast, our scheme works over a much broader class of networks and does not require a tight coupling between the sender and its network interface. Similarly, Hill, et.al. report 2sec synchronization on Berkeley mote hardware in [10] for receivers within a single broadcast domain. This is achieved by tightly integrating the MAC with the application, and building a deterministic bit detector into the MAC layer. RBS does not require that the application be collapsed into the MAC, and indeed will be shown in Section 4.4 to work ....
J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Technical report, U.C. Berkeley, 2001.
Wireless Sensor Networks for Habitat Monitoring - Mainwaring, Polastre.. (2002) (132 citations) Self-citation (Culler) (Correct)
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Jason Hill and David Culler, "A wireless embedded sensor architecture for system-level optimization," in Submission to USENIX ASPLOS '02, 2002.
Wireless Sensor Networks for Habitat Monitoring - Mainwaring, Polastre.. (2002) (132 citations) Self-citation (Culler) (Correct)
....We expect that this device will be extremely useful during the initial deployment and during retasking of the network. 4. IMPLEMENTATION STRATEGIES 4.1 Sensor Network Node In our deployment, we are using UC Berkeley motes as the sensor nodes. The latest member of the mote family, called Mica [11] (shown in Figure 2) uses a single channel, 916MHz radio from RF Monolithics to provide bidirectional communication at 40kbps, an Atmel Atmega 103 microcontroller running at 4MHz, and considerable amount of nonvolatile storage (512 KB) A pair of conventional AA batteries and a DC boost converter ....
J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. In UC Berkeley Technical Report, 2002.
Mate: A Tiny Virtual Machine for Sensor Networks - Levis, Culler (2002) (33 citations) Self-citation (Culler) (Correct)
....devices with a memory budget of 160KB to 512 KB [15] Energy is a critical resource, especially in terms of communication; sending a single bit can consume the same energy as executing 1000 instructions. The hardware software boundary of an individual mote is currently a topic of open research [10][11] Although sensor networks are distinct from other computing domains in several ways, they have similarities to parallel architectures and distributed systems; notably, they are all composed of many separate processing elements that must communicate. There are, of course, important ....
Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. Intel Research IRB-TR-02-00N, 2002.
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Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. Technical report, U.C. Berkeley, 2001.
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J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Submitted for publication, 2002.
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J. Hill and D. Culler, "A wireless embedded sensor architecture for system-level optimization," Tech. Rep., Computer Science Department, University of California Berkeley, 2002.
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J. Hill and D. Culler, "A Wireless Embedded Sensor Architecture for System-level Optimization." Technical report, U.C. Berkeley, 2001.
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J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Ece, UC Berkeley, October 2002.
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Jason Hill and David Culler. A wireless embedded sensor architecture for system-level optimization. Technical report, U.C. Berkeley, 2001.
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J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Ece, UC Berkeley, October 2002. 12
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J. Hill and D. Culler. A wireless embedded sensor architecture for system level optimization. Technical report U.C. Berkeley, 2001.
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J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Submitted for publication, 2002.
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J. Hill and D. Culler. A wireless embedded sensor architecture for system-level optimization. Technical Report, University California Berkeley, 2001.
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