Congestion Avoidance for Smart Devices by Caching Information in MANETS and IoT

Akhtar, Nousheen; Khan, Muazzam A.; Ullah, Ata; Javed, Muhammad Awais

doi:10.1109/access.2019.2918990

Cited by 37 publications

(20 citation statements)

References 26 publications

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“…Notably, if the buffers are full, e.g., due to congestion (which may occur in IoT environments), packets are dropped and need to be retransmitted. This also increases the communication latency [48].…”

Section: A Direct Routingmentioning

confidence: 99%

edgeRouting: Using Compute Nodes in Proximity to Route IoT Data

Karagiannis

Schulte

2021

IEEE Access

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Due to the proliferation of edge computing, cloud providers have started offering compute nodes at the edge of the network in addition to traditional compute nodes in data centers. So far, various systems have been proposed for processing Internet of Things (IoT) data on both edge and cloud compute nodes in order to reduce the communication latency. However, such systems do not typically consider that the network bandwidth between an edge node and a cloud node can be orders of magnitude higher than the bandwidth between an IoT device and a cloud node. As a result, the IoT data are commonly sent selectively to either edge or cloud nodes disregarding alternative network paths through edge nodes, which may have higher network bandwidth, and lower communication latency. To avoid this, in this paper we analyze the latency of sending data to edge and cloud compute nodes of cloud providers. Based on this analysis, we propose edgeRouting which routes the data through the closest edge compute node. By doing that, edgeRouting exploits both the low propagation delay of nodes at the edge, and the high bandwidth among edge and cloud compute nodes of cloud providers. To evaluate our approach, we perform experiments on a real-world setup with nearby and remote compute nodes of a cloud provider, and we show that edgeRouting reduces the communication latency by up to 55% compared to alternative methods.

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Section: A Direct Routingmentioning

confidence: 99%

edgeRouting: Using Compute Nodes in Proximity to Route IoT Data

Karagiannis

Schulte

2021

IEEE Access

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“…Every node in a MANET functions as both host, which acts as a normal terminal device, and router, which forwards packets to assist routing operations. These nodes can be any personal device such as laptops, mobile phones, or tablets that are battery-driven in general [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

Shan

Fan

et al. 2021

Sensors

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Cooperative communication and resource limitation are two main characteristics of mobile ad hoc networks (MANETs). On one hand, communication among the nodes in MANETs highly depends on the cooperation among nodes because of the limited transmission range of the nodes, and multi-hop communications are needed in most cases. On the other hand, every node in MANETs has stringent resource constraints on computations, communications, memory, and energy. These two characteristics lead to the existence of selfish nodes in MANETs, which affects the network performance in various aspects. In this paper, we quantitatively investigate the impacts of node selfishness caused by energy depletion in MANETs in terms of packet loss rate, round-trip delay, and throughput. We conducted extensive measurements on a proper simulation platform incorporating an OMNeT++ and INET Framework. Our experimental results quantitatively indicate the impact of node selfishness on the network performance in MANETs. The results also imply that it is important to evaluate the impact of node selfishness by jointly considering selfish nodes’ mobility models, densities, proportions, and combinations.

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“…Meanwhile, it performs the random token generation mechanism to solve the reservation conflicts of the nodes with same priority. Then, based on the consideration of multi-hop cooperative characteristic in the end-to-end transmission of MANETs [ 36 , 37 , 38 ], the source node and routing nodes have been jointly considered as a whole link when allocating slots. In SP-DS algorithm, a transmission path from source node to the destination node is firstly constructed through the routing module in the reservation phase.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic TDMA Scheduling Strategy for MANETs Based on Service Priority

Zhang

Xie

et al. 2020

Sensors

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Physical resource allocation strategy is a key factor affecting the performance of a mobile ad hoc network (MANET), which serves as a network model widely used in the sensor and detection field. For various perceived service information, it is significant for the allocation strategy to adapt to the dynamic service requirements and prioritize resource access for the service information with high priority to guarantee its real-time performance. In this paper, a novel dynamic time division multiple access (TDMA) scheduling strategy is proposed for MANETs. Firstly, a service priority-based dynamic TDMA scheduling (SP-DS) algorithm is presented, which introduces the service priority as a reference factor for slot allocation and fully considers the transmission throughput and end-to-end delay performance. Moreover, for improving the slot use of the whole system, a modified distributed color constraint heuristic (MD-CCH) scheme is presented to optimize the frame structure. The SP-DS and MD-CCH algorithms are combined to form the novel strategy. Simulation results have demonstrated that the proposed strategy has better performance in the slot use, slot allocation efficiency, end-to-end delay and transmission throughput compared with the existing slot allocation algorithms.

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Congestion Avoidance for Smart Devices by Caching Information in MANETS and IoT

Cited by 37 publications

References 26 publications

edgeRouting: Using Compute Nodes in Proximity to Route IoT Data

edgeRouting: Using Compute Nodes in Proximity to Route IoT Data

Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs

A Dynamic TDMA Scheduling Strategy for MANETs Based on Service Priority

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