Global clock synchronization in sensor networks

By Qun Li, Daniela Rus. IEEE transactions on computers, 2006

676 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/00a133515078edf444d42b4433c9bf7fe2ce5834

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In Computational Theory and Mathematics

In Computer Networks and Communications

Citations in the corpus

A survey on wireless multimedia sensor networks (2007, background): “• The effect of clock drift is pronounced if the slot duration is small and rigid time synchronization is required for best performance [73] (and references therein).”
CogMesh: A Cluster-Based Cognitive Radio Network (2007, background): “However, there are solutions to partially solve this problem [14].”
An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges (2014, background): “Time synchronization can be further classified into two levels of synchronization: local synchronization and global synchronization [90].”
Convergence Speed in Distributed Consensus and Averaging (2009, positive): “Motivated by this negative result, we approach the averaging problem diﬀerently: we introduce an averaging algorithm based on “load balancing” ideas (Section 8.2), and prove a polynomial bound on its convergence time (Section 8.3).”
Clock Synchronization of Wireless Sensor Networks (2011, methodology): “Incidentally, this distributed spatial smoothing algorithm coincides in spirit with the diffusion algorithms proposed in [44].”
Randomized consensus algorithms over large scale networks (2007, background): “ing information among nodes exclusively along the available edges in G. This problem appears in a number of different contexts since the early 80’s (decentralized computation [1], load balancing [2], [3], [4]) and, recently, has attracted much attention for possible applications to sensor networks (”
Clock synchronization for wireless sensor networks: a survey (2005, methodology): “9 Asynchronous diffusion protocol [42] .”
On distributed averaging algorithms and quantization effects (2007, background): “Motivated by observed group behavior in biological and dynamical systems, the recent literature in cooperative control has studied similar algorithms and proved convergence results under various assumptions on agent connectivity and information exchange (see [13]–[15], [17], [20]).”
STCP: a generic transport layer protocol for wireless sensor networks (2005, background): “Clock synchronization for sensor networks is addressed in [7], [9].”
Average TimeSynch: A consensus-based protocol for clock synchronization in wireless sensor networks (2011, background): “For example, in [15] the authors propose a consensus-based algorithm to compensate the clock offsets but not the clock drifts, while in [23] the authors studied distributed frequency compensation , i.e., clock drift compensation, for phase locked loops (PLLs) using consensus algorithms.”
Wireless sensor network survey (2008, methodology): “Global synchronization: Li and Rus [74] discuss three methods to global synchronization: all-node-based method , cluster-based method, and fully localized diffusionbased method.”