Delivery ratio- and buffered time-constrained: Multicasting for Delay Tolerant Networks

Jiang, Guoxing; Chen, Jun; Shen, Yanqing

doi:10.1016/j.jnca.2014.05.004

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…For instance, a node re-actively trigger drop event upon receiving message with full buffer. Few popular examples of reactive buffer management are LIFO (Last In First Out) [ 5 ], FIFO (First In First Out) [ 5 ], Drop Largest (DLA) [ 6 ] and MOFO (Most Forwarded First) [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

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Priority Queue Based Reactive Buffer Management Policy for Delay Tolerant Network under City Based Environments

Ayub

Ngadi²,

Rashid

et al. 2018

PLoS ONE

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Delay Tolerant Network (DTN) multi-copy routing protocols are privileged to create and transmit multiple copies of each message that causes congestion and some messages are dropped. This process is known as reactive drop because messages were dropped re-actively to overcome buffer overflows. The existing reactive buffer management policies apply a single metric to drop source, relay and destine messages. Hereby, selection to drop a message is dubious because each message as source, relay or destine may have consumed dissimilar magnitude of network resources. Similarly, DTN has included time to live (ttl) parameter which defines lifetime of message. Hence, when ttl expires then message is automatically destroyed from relay nodes. However, time-to-live (ttl) is not applicable on messages reached at their destinations. Moreover, nodes keep replicating messages till ttl expires even-though large number of messages has already been dispersed. In this paper, we have proposed Priority Queue Based Reactive Buffer Management Policy (PQB-R) for DTN under City Based Environments. The PQB-R classifies buffered messages into source, relay and destine queues. Moreover, separate drop metric has been applied on individual queue. The experiment results prove that proposed PQB-R has reduced number of messages transmissions, message drop and increases delivery ratio.

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Section: Introductionmentioning

confidence: 99%

“…The existing buffer management policies [ 5 – 9 ]drop a message by computing a single metric. This metric is combination of various properties including message size, Time-To-Live, arrival time and hop count.…”

Section: Introductionmentioning

confidence: 99%