2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications 2008
DOI: 10.1109/ictta.2008.4530166
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Averaging Algorithms for Wireless Sensor Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2008
2008
2011
2011

Publication Types

Select...
3
1
1

Relationship

4
1

Authors

Journals

citations
Cited by 5 publications
(7 citation statements)
references
References 8 publications
0
7
0
Order By: Relevance
“…The elements of A, that satisfy the condition R j a ij = 1, can be chosen at random or following some suitable deterministic rule. Although different laws [11] can be adopted, in [12] we showed that good results are obtained assuming a i = 0 and:…”
Section: Broadcast Algorithmmentioning
confidence: 83%
“…The elements of A, that satisfy the condition R j a ij = 1, can be chosen at random or following some suitable deterministic rule. Although different laws [11] can be adopted, in [12] we showed that good results are obtained assuming a i = 0 and:…”
Section: Broadcast Algorithmmentioning
confidence: 83%
“…The performance of gossip algorithms can be measured in terms of convergence to the average [5,[16][17][18]. This subject has been widely investigated in the previous literature (see [16,[19][20][21][22][23] and the references therein), mostly under the theoretical viewpoint and by adopting abstract system models. In [16], for example, an analytical framework for the design and study of a randomized distributed averaging problem was presented, together with specific tools for network optimization.…”
Section: Notationmentioning
confidence: 99%
“…The value of α in ( 2) has an impact on the convergence speed. Actually, in the case of fully-meshed networks, where each node is able to reach any other node in a single hop (this case is rather unrealistic but can be usefully adopted as a benchmark [11]) α ≈ 0.5 can be considered a good choice. This is confirmed, through an example, in Fig.…”
Section: Share Factors Optimizationmentioning
confidence: 99%
“…, is an N×N matrix whose elements are defined as follows: (11) where d i represents the nodal degree of node i. In the case of a ring topology, we have d i = d for any i.…”
Section: The Laplacian Matrix Q(g) Of the Graph ( ) G V Ementioning
confidence: 99%