A localized fault detection algorithm for mobility management in the strongly t-diagnosable wireless ad hoc network under the comparison model
Among the many kinds of networking technologies, the wireless ad hoc network is an important one for creating high-performance ubiquitous computing systems. The availability of a wireless ad hoc network (WANET) depends highly upon the level of node reliability. System-level fault diagnosis has long...
        Saved in:
      
    
          | Published in | EURASIP journal on wireless communications and networking Vol. 2016; no. 1; pp. 1 - 11 | 
|---|---|
| Main Authors | , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Cham
          Springer International Publishing
    
        13.09.2016
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1687-1499 1687-1472 1687-1499  | 
| DOI | 10.1186/s13638-016-0714-1 | 
Cover
| Summary: | Among the many kinds of networking technologies, the wireless ad hoc network is an important one for creating high-performance ubiquitous computing systems. The availability of a wireless ad hoc network (WANET) depends highly upon the level of node reliability. System-level fault diagnosis has long been a subject for the purpose of maintaining system reliability. This paper addresses the comparison-based approach to fault detection, and accordingly, we developed a localized algorithm for detecting faulty nodes in strongly one-step
t
-diagnosable WANETs. The contributions of this paper are highlighted as follows: (i) A localized fault detection algorithm is proposed for strongly one-step
t
-diagnosable WANETs under the comparison model, (ii) the proposed algorithm is formally proved, and it incurs only linear time complexity, which is relatively efficient compared to some others in literature, and (iii) some examples are presented for clarifying how to accomplish the comparison-based fault detection process. | 
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23  | 
| ISSN: | 1687-1499 1687-1472 1687-1499  | 
| DOI: | 10.1186/s13638-016-0714-1 |