Titlebook: Distributed Computing in Sensor Systems; 6th IEEE Internation Rajmohan Rajaraman,Thomas Moscibroda,Anna Scaglion Conference proceedings 201

大笑

Control Theoretic Sensor Deployment Approach for Data Fusion Based Detection,e a faster SE convergence rate than that of the greedy algorithm. As a result, the proposed algorithms can use as much as 25% fewer number of sensors than the greedy algorithm to satisfy the same detection and false alarm requirements.

演讲

A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks, the target moves, static clusters and on-demand dynamic clusters alternately manage the tracking task. Simulation results show that the proposed scheme performs better in tracking the moving target when compared with other typical target tracking protocols.

Veneer

顾客

Time-Critical Data Delivery in Wireless Sensor Networks,ion of the protocol and its evaluation in a testbed. Under high traffic load, the protocol delivers 100% of data in time using a maximum node duty cycle as little as 2.48%. In an idle network a maximum node duty cycle of only 0.62% is achieved. This proposed protocol is thus an extremely energy efficient solution for time-critical data delivery.

Dungeon

AEGIS: A Lightweight Firewall for Wireless Sensor Networks,cations, and is easy to maintain. Experimental results obtained using real sensor nodes and cycle-accurate simulations demonstrate that . successfully performs gatekeeping of a sensor node’s communication traffic in a flexible manner with minimal overheads.

PHONE

Decentralized Subspace Tracking via Gossiping,tral fusion node. In this model, each node updates its local subspace estimate with its received data and a weighted average of the neighbors’ data. The quality of the estimate is measured by the total subspace mismatch of the individual subspace component estimates, which converge asymptotically in the Lyapunov sense.

BRAWL

Conference proceedings 2010tions in this proceedings span important aspects of sensor systems, including energy management; communication; coverage and tracking; time synchronization and scheduling; key establishment and authentication; compression; medium access control; code update; and mobility.

BILE

妈妈不开心

悬挂

Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals,nknown signals. Through both a numerical example and an experimental study on a large military site, we show that our proposed system reduces the noise in an unknown signal by 58.2% better than a comparable algorithm.