2011
DOI: 10.5120/2278-2950
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Impact of Mobility Models on DLA (Drop Largest) Optimized DTN Epidemic Routing Protocol

Abstract: DTN mobile nodes depend on their mobility to carry the message to destination. Therefore it is important to understand the effect of buffer management policies on the performance of DTN routing protocols under different mobility models.In our previous work of DLA we examine that epidemic router was not showing good delivery probability in case of SPMBM. This paper is the performance of DLA (drop largest) and DOA (Drop oldest) buffer management policy with impact of varying mobility models under epidemic routin… Show more

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Cited by 12 publications
(10 citation statements)
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“…Rashid et al propose dropping the message in the node if its size is larger than or equal to the incoming message in [19]. In the same year, Rashid et al [10] also introduce a variety of existing buffer management policies and performance evaluation indicators, and propose a Drop Largest (DLA) sorting strategy that drops large-size messages when the node buffer becomes congested. Wang et al propose a knapsack-based message scheduling and drop strategy for DTN in [20], and calculate utility values of those messages by quantifying the impact of replicating or dropping them.…”
Section: Single Standardmentioning
confidence: 99%
See 1 more Smart Citation
“…Rashid et al propose dropping the message in the node if its size is larger than or equal to the incoming message in [19]. In the same year, Rashid et al [10] also introduce a variety of existing buffer management policies and performance evaluation indicators, and propose a Drop Largest (DLA) sorting strategy that drops large-size messages when the node buffer becomes congested. Wang et al propose a knapsack-based message scheduling and drop strategy for DTN in [20], and calculate utility values of those messages by quantifying the impact of replicating or dropping them.…”
Section: Single Standardmentioning
confidence: 99%
“…They do not consider the impact of collaboration between neighbors on the performance of the buffer management strategy. In addition, many works only consider the message attributes, while ignoring the characteristics of the nodes in MON [9][10][11]. Taking into account the above facts, we propose a reasonable queuing strategy for the buffer management strategy from the perspective of the message and node, which includes the size of the message, the hop count, time-to-live (TTL), and the node utility; meanwhile, our strategy includes an efficient message migration scheme that effectively deletes and transfers messages.…”
Section: Introductionmentioning
confidence: 99%
“…Ayub et al (2010) proposed a new message forwarding technique by studying the impact of packet forwarding order with ER to optimize its performance in terms of delivery probability. In the same field and to enhance the performance of ER, Rashid et al (2011) study the impact of buffer management Drop Largest (DLA). The study described how to drop large-size message when the node buffer is congested with five mobility models.…”
Section: Epidemic Routing Protocolmentioning
confidence: 99%
“…To date, past works have considered classical buffer management policies such as DO, Drop Random (DR), LIFO and FIFO for use in DTNs [38][39][40][41]. In DO, a node drops the bundle with the shortest TTL.…”
Section: Local Knowledge Schemesmentioning
confidence: 99%