Improving Bandwidth Utilization of Intermittent Links in Highly Dynamic Ad Hoc Networks

Wu, Jingbang; Lu, Hanqing; Xiang, Yong; Cai, Bingying; Wang, Weitao; Liu, Ruilin

doi:10.1007/s11277-017-4797-8

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…They also explained the importance of CRN (Cognitive Radio Networks) and their proposed work exhibited better energy consumption, through-put, bandwidth-power product, lower running time and average end-to-end delay when compared to the existing schemes [ 21 ]. Various bandwidth utilization techniques in the areas of multimedia communications in next generation Mobile Communication Networks and Mobile Ad Hoc networks have been proposed [ 22 , 23 ] that also boosted the research interest in enhanced channel utilization. All these research works have some advantages but on the contrary these were having some constraints and disadvantages also.…”

Section: Related Workmentioning

confidence: 99%

Mitigating the Effect of COVID Lockdown Period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India)

Purohit

Kaur

Choudhary³

2021

Wireless Pers Commun

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Section: Related Workmentioning

confidence: 99%

Mitigating the Effect of COVID Lockdown Period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India)

Purohit

Kaur

Choudhary³

2021

Wireless Pers Commun

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“…This process is repeated and the bundle will be relayed hop-by-hop until reaching the destination node. In [6], [7], [8], [9], [10], [11], [12], [16], [17], [18], [19] authors deal with routing in DTNs.…”

Section: Routing Protocolsmentioning

confidence: 99%

Routing in a many-to-one communication scenario in a realistic VDTN

Bylykbashi

Spaho

Barolli

et al. 2018

JHS

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In this paper, we evaluate and compare the performance of different routing protocols in a many-to-one communication within a Vehicular Delay Tolerant Network (VDTN). Seven groups with three stationary sensor nodes sense the temperature, humidity and wind speed and send these data to a stationary destination node that collect them for statistical and data analysis purposes. Vehicles moving in Tirana city roads in Albania during the opportunistic contacts will exchange the sensed data to destination node. The simulations are conducted with the Opportunistic Network Environment (ONE) simulator. For the simulations we considered two different scenarios where the distance of the source nodes from the destination is short and long. For both scenarios the effect of node density, ttl and node movement model is evaluated. The performance is analyzed using delivery probability, overhead ratio, average latency, average number of hops and average buffer time metrics. The simulation results show that the increase of node density increases the delivery probability for all protocols and both scenarios, and better results are achieved when shortest-path map-based movement model is used. The increase of ttl slightly affects the performance of all protocols. By increasing the distance between source nodes and destination node, delivery probability is decreased almost 10% for all protocols, the overhead for sprayandwait protocol does not change, but for other protocols is slightly increased and the average number of hops and average latency is increased.

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Batch-Free Event Sequence Pattern Mining for Communication Stream Data with Instant and Persistent Events

Lee

Han

Jun

et al. 2018

Wireless Pers Commun

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Improving Bandwidth Utilization of Intermittent Links in Highly Dynamic Ad Hoc Networks

Cited by 4 publications

References 21 publications

Mitigating the Effect of COVID Lockdown Period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India)

Mitigating the Effect of COVID Lockdown Period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India)

Routing in a many-to-one communication scenario in a realistic VDTN

Batch-Free Event Sequence Pattern Mining for Communication Stream Data with Instant and Persistent Events

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