Proceedings of the 7th International Conference on Computer and Communication Technology 2017
DOI: 10.1145/3154979.3154997
|View full text |Cite
|
Sign up to set email alerts
|

Optimal Sub-Path Selection for Maximum Data Gathering Using Mobile Sink in WSN

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 10 publications
0
5
0
Order By: Relevance
“…In fixed [10]- [12] the MS moves in a fixed path periodically. In controllable [13]- [15] the movement of MS is controllable and is dependent on network performance and quality of service [16]. Papers [17], [18] use both MS and stationary sink for data aggregation.…”
Section: Literature Surveymentioning
confidence: 99%
“…In fixed [10]- [12] the MS moves in a fixed path periodically. In controllable [13]- [15] the movement of MS is controllable and is dependent on network performance and quality of service [16]. Papers [17], [18] use both MS and stationary sink for data aggregation.…”
Section: Literature Surveymentioning
confidence: 99%
“…Path-Controllable Mobility : Under this mobility pattern, many works are dedicated to designing the sink path for improving the network performance [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. In [ 17 ], mobile elements visit each node to collect the buffered data using one-hop communication.…”
Section: Related Workmentioning
confidence: 99%
“…Xu et al design the sink path so that the energy reduction will be maximized and a round-trip data collection can be completed within a specified time period [ 24 ]. In [ 25 ], a continuous sub-path on a given constrained trajectory is selected for the mobile sink to collect the maximum amount of data within the delay bound. Sha et al find the moving paths for multiple sinks to achieve low-latency energy-efficient data gathering while exploiting the sleep scheduling and the sensing radius adjustment to reduce coverage redundancy [ 26 ].…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations