Various protocols have been proposed in the area of wireless sensor networks in order to achieve network-wide time synchronization. A large number of proposed protocols in the literature employ a message passing mechanism to make sensor node clocks tick in unison. In this paper, we first classify Message Passing based Time Synchronization (MPTS) protocols and then analyze them based on different metrics. The classification is based on the following three criteria: structure formation of the network affected by the synchronization protocol, frequency of synchronization process (synchronization interval), and synchronization message overhead. Proposed protocols are analyzed and evaluated from different perspectives based on available data. A comparison table of the reviewed protocols is presented according to the evaluation metrics. Finally, some potential methods will be proposed to improve the synchronization process.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/1WVokTg
via IFTTT
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
Abstract Sexual dimorphism in the human respiratory system has been previously reported at the skeletal (cranial and thoracic) level, but ...
-
We are excited to share with you the newest dentistry and patient safety editions recently added to STAT!Ref. As a reminder, all STAT!Ref c...
-
Abstract The effects of oxygen addition on a helium-based flowing atmospheric pressure afterglow (FAPA) ionization source are explored. Sm...
-
Objective Both antitumor and antisecretory efficacies of dopamine agonists (DA) make them the first-line treatment of macroprolactinomas. Ho...
-
2016-12-10T02-17-59Z Source: Indo American Journal of Pharmaceutical Research M.R. Pradeep Kumar*, Shrinivas D. Joshi . With an objecti...
-
Chemotherapy has been shown to enrich cancer stem cells in tumors. Recently, we demonstrated that administration of chemotherapy to human bl...
-
Related Articles Corrections. Otolaryngol Head Neck Surg. 2007 Dec;137(6):987 Authors: PMID: 29135374 [PubMed] from #AlexandrosS...
-
Background: Inferring the topology of gene regulatory networks (GRNs) from microarray gene expression data has many potential applications, ...
-
http://ift.tt/2svTdo9
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου