1 Ocak 2017 Dergi makalesi Açık Erişim

Utlu, Ihsan; Kilic, O. Fatih; Kozat, Suleyman S.

Citation Style Language JSON

{
  "DOI": "10.1016/j.dsp.2017.05.011", 
  "abstract": "We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over the network, while delivering a comparable performance with respect to the state of the art. After computation of local estimates, the information is diffused among the processing elements (or nodes) non-uniformly in time by conditioning the information transfer on level-crossings of the diffused parameter, resulting in a greatly reduced communication requirement. We provide the mean and mean-square stability analyses of our algorithms, and illustrate the gain in communication efficiency compared to other reduced-communication distributed estimation schemes. (C) 2017 Elsevier Inc. All rights reserved.", 
  "author": [
    {
      "family": "Utlu", 
      "given": " Ihsan"
    }, 
    {
      "family": "Kilic", 
      "given": " O. Fatih"
    }, 
    {
      "family": "Kozat", 
      "given": " Suleyman S."
    }
  ], 
  "container_title": "DIGITAL SIGNAL PROCESSING", 
  "id": "46701", 
  "issued": {
    "date-parts": [
      [
        2017, 
        1, 
        1
      ]
    ]
  }, 
  "page": "127-137", 
  "title": "Resource-aware event triggered distributed estimation over adaptive networks", 
  "type": "article-journal", 
  "volume": "68"
}