This paper presents Location-Centric Storage (LCS), a novel distributed data storage protocol for sensor networks. In the protocol, each event detected by sensors is associated with an intensity value (σ)(by sensors)...
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Recently an approach that combined the techniques in distributed classification and the ones in error-correcting codes has been proposed to design a fault-tolerant classification system in wireless networks. The codew...
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Search and rescue of people in emergency situations, e.g. lost hikers, stranded climbers, or injured skiers has been difficult due to lack of information about their location at various times. Current location and tra...
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Revolutionary technologies for quickly locating and repairing leaks in the pressurized environment of the international Space Station are a critical NASA need. Leaks caused by the malfunction of on-board vacuum system...
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A big challenge of designing and implementing a monitoring system for distributedsystems such as the Computational Grid is how to quickly and dynamically deploy and manage a large collection of monitoring sensors. Cu...
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Wireless sensor networks are emerging as a new computational platform consisting of small, low-power and inexpensive nodes that integrate a modest amount of sensing, computation and wireless communication capabilities...
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ISBN:
(纸本)3540264221
Wireless sensor networks are emerging as a new computational platform consisting of small, low-power and inexpensive nodes that integrate a modest amount of sensing, computation and wireless communication capabilities. These have found popular applications in a broad set of areas including environmental monitoring, habitat monitoring and disaster recovery. Typically sensor nodes are deployed over a geographical area for the purpose of detecting, tracking and monitoring events of interest. Reports produced upon the observation of specific events are then processed locally at the sensor nodes and transmitted over multiple hops to a centralized sink in order to reach an operations center or to be analyzed further. Since sensor nodes are deployed in a large land region, the objective is to achieve complete coverage of the region, that is, every location in the region lies in the observation field of at least one sensor node. However the initial placement of sensors may not achieve this goal for various reasons: the number of original sensors may have been too low, the original placement may have been random (for example, sensors deployed from the air) leaving parts of the region uncovered, or, some of the sensors have malfunctioned, leaving coverage holes. In this paper we study the coverage restoration problem in sensor networks. The fundamental question is "Given a two-dimensional area, a piece of land for example, and an initial set of sensors, how can we determine the number of sensor nodes required to completely cover the region". Essentially, the coverage restoration problem reflects how well an area is monitored by sensors. In abstract terms, our approach determines uncovered area in the sensor network field and proposes the deployment of nodes to completely cover the area. Our mechanism consists of two steps: (a) estimating the regions uncovered by sensors and (b) identifying the minimum number and location of sensors required to cover this region. The key idea
Wireless sensor networks (WSNs) will profoundly influence the ubiquitous computing landscape. Their utility derives not from the computational capabilities of any single sensor node, but from the emergent capabilities...
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A major concern in wireless sensor networks is to maximize network lifetime (in terms of rounds) while maintaining a high quality of services (QoS) at each round such as target coverage and network connectivity. Due t...
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ISBN:
(纸本)3540281029
A major concern in wireless sensor networks is to maximize network lifetime (in terms of rounds) while maintaining a high quality of services (QoS) at each round such as target coverage and network connectivity. Due to the power scarcity of sensors, a mechanism that can efficiently utilize energy has a great impact on extending network lifetime. Most existing works concentrate on scheduling sensors between sleep and active modes to maximize network lifetime while maintaining target/area coverage and network connectivity. This paper generalizes the sleep/active mode by adjusting sensing range to maximize total number of rounds and presents a distributed heuristic to address this problem.
This paper proposes a new Heterogeneous Multi-hop Cellular IP (MCIP) network that integrates multi-hop communication with Cellular IP. MCIP increases the coverage of the wireless network and improves the network robus...
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