Optimal Buffer Management Scheme to Maximize the Message Delivery Rate in Delay Tolerant Networks

2009 ◽  
Vol E92-B (11) ◽  
pp. 3499-3503 ◽  
Author(s):  
Yong LI ◽  
Depeng JIN ◽  
Li SU ◽  
Lieguang ZENG
Keyword(s):  
Buffer Management ◽  
Delay Tolerant Networks ◽  
Delivery Rate ◽  
Message Delivery ◽  
Management Scheme ◽  
Delay Tolerant

An adaptive and efficient buffer management scheme for resource-constrained delay tolerant networks

2015 ◽  
Vol 22 (7) ◽  
pp. 2189-2201 ◽  
Author(s):  
Momina Moetesum ◽  
Fazle Hadi ◽  
Muhammad Imran ◽  
Abid Ali Minhas ◽  
Athanasios V. Vasilakos
Keyword(s):  
Buffer Management ◽  
Delay Tolerant Networks ◽  
Resource Constrained ◽  
Management Scheme ◽  
Delay Tolerant

scholarly journals The Social Relationship Based Adaptive Multi-Spray-and-Wait Routing Algorithm for Disruption Tolerant Network

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jianfeng Guan ◽  
Qi Chu ◽  
Ilsun You
Keyword(s):  
Social Relationship ◽  
Routing Algorithm ◽  
Buffer Management ◽  
Delivery Rate ◽  
Message Delivery ◽  
Dead End ◽  
The Social ◽  
Disruption Tolerant Network ◽  
Spray And Wait ◽  
Blind Spots

The existing spray-based routing algorithms in DTN cannot dynamically adjust the number of message copies based on actual conditions, which results in a waste of resource and a reduction of the message delivery rate. Besides, the existing spray-based routing protocols may result in blind spots or dead end problems due to the limitation of various given metrics. Therefore, this paper proposes a social relationship based adaptive multiple spray-and-wait routing algorithm (called SRAMSW) which retransmits the message copies based on their residence times in the node via buffer management and selects forwarders based on the social relationship. By these means, the proposed algorithm can remove the plight of the message congestion in the buffer and improve the probability of replicas to reach their destinations. The simulation results under different scenarios show that the SRAMSW algorithm can improve the message delivery rate and reduce the messages’ dwell time in the cache and further improve the buffer effectively.

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