Stochastic model-driven capacity planning framework for multi-access edge computing

Shojaee, Reza; Yazdani, Nasser

doi:10.1007/s00607-022-01102-4

Cited by 1 publication

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Individual SPs and the SPN as an entity are oblivious of data transmission energy thresholds. In a wireless sensor network, each SP is assigned a unique energy weight that is unknown to any other SP [2]. The energy level is dependent on the transmission distance from one SP to the next.…”

Section: Related Workmentioning

confidence: 99%

“…The transfer of these segments occurs inside many autonomous sectors, each of which has its own distinct identifier for the purpose of communication. The control packet will be received by the PFNs located within the transmission range, after which the initiator node will get an acknowledgement [1][2][3]. The subsequent forwarding node is determined based on the node with the shortest response time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Data Perturbation for Pervasive Edge Computing Environments Using Iterative Randomised Parallel Variable Perturbation in Wireless Sensor Network

Shukur,

et al. 2023

Preprint

View full text Add to dashboard Cite

The reduction in the size of Packet Forwarding Nodes (PFNs) is a direct consequence of technological advancements in wireless sensor networks (WSN). Each node has an extra characteristic that results in diminished energy levels. The dispersed PFNs are arranged in a squared cross-sectional area, where each node functions as a Sensing Point (SP) capable of performing diverse applications such as temperature, ambient humidity, sound, and pressure measurements. The packet is partitioned into many fragments, with each fragment being classified as either having an exact or variable length. Each individual packet is sent over numerous Physical Forwarding Nodes (PFNs) on route to the data centre, using the PFNs as the underlying mechanism for transmission. The choice of route forwarding nodes (PFNs) is determined by their respective trust levels. Within the network, designated Packet Forwarding Nodes (PFNs) are strategically positioned to facilitate the delivery of packets to the data centre, ensuring the integrity of the data is preserved throughout the process. The process of selecting certain PFNs involves the calculation of meeting probability, remaining energy, data weight, and security value. The comparative analysis involves evaluating the Iterative Randomised Parallel Variable Perturbation (IRPVP) method against conventional approaches based on various parameters, including delay, link count, resource energy, healthy PFNs, non-healthy PFNs, health ratio computation, remaining energy, control to data ratio, and balancing factor. The results of the simulation demonstrate that the efficacy of the proposed Iterative Randomised Parallel Variable Perturbation (IRPVP) method surpasses that of other traditional algorithms.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%