Synchronization-Free Delay Tomography Based on Compressed Sensing
  Delay tomography has so far burdened source and receiver measurement nodes in a network with two requirements such as path establishment and clock synchronization between them. In this letter, we focus on the clock synchronization problem in delay tomography and propose a synchronization-free delay tomography scheme. The proposed scheme selects a path between source and receiver measurement nodes as a reference path, which results in a loss of equation in a conventional delay tomography problem. However, by utilizing compressed sensing, the proposed scheme becomes robust to the loss. Simulation experiments confirm that the proposed scheme works comparable to a conventional delay tomography scheme in networks with no clock synchronization between source and receiver measurement nodes. 
Kensuke Nakanishi, Shinsuke Hara, Takahiro Matsuda, Kenichi Takizawa,   Fumie Ono, and Ryu Miura
cs.NI cs.IT math.IT