2010 7th IEEE Consumer Communications and Networking Conference 2010
DOI: 10.1109/ccnc.2010.5421763
|View full text |Cite
|
Sign up to set email alerts
|

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Abstract: Applications for wireless sensor networks have grown enormously over the past few years. Routing and sink discovery protocols designed for ad hoc networks do not adapt to sensor networks, and generic sensor network routing techniques are not optimal for all scenarios. We propose a light weight routing protocol to discover mobile sinks in battle-field operations or large terrains. Initial experimentation shows promising results in reduction of control over head, good data delivery with support of multi-metric p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2015
2015
2015
2015

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 8 publications
0
3
0
Order By: Relevance
“…Ant colony optimization, another technique of the population-based optimization approaches, was used in [59] to solve the task allocation problem of MRS. In [60], ant algorithm was used in the context of multi-robot cooperation for the aim of solving the task allocation problem.…”
Section: Optimization-based Approachesmentioning
confidence: 99%
See 2 more Smart Citations
“…Ant colony optimization, another technique of the population-based optimization approaches, was used in [59] to solve the task allocation problem of MRS. In [60], ant algorithm was used in the context of multi-robot cooperation for the aim of solving the task allocation problem.…”
Section: Optimization-based Approachesmentioning
confidence: 99%
“…Let x be an estimate of x. To simplify the computations, we use the modified Bayesian CRLB [59][60][61], which allows us to first treat the robot clock skews β 1 and β 2 as known values, and then taking expectation over all random clock skews. The actual Bayesian CRLB gives a tighter error bound, but has a much more complicated form that unfortunately does not provide additional insights compared to the analysis in this paper.…”
Section: Performance Limit Using Received Signals (2) and (3)mentioning
confidence: 99%
See 1 more Smart Citation