Computation power maximization for mobile edge computing enabled dense network

Wan, Zheng; Dong, Xiaogang

doi:10.1016/j.comnet.2022.109458

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…Figure 17 comprises four subfigures, showing transmitted data of legitimate nodes, the number of GTS-requesting nodes entertained, the data transmission time of all the legitimate nodes, and the mean trust values. The results are compared with the 0/1 knapsack algorithm [32] in addition to the other three standards. The results show that the proposed scheme allows more legitimate nodes to transmit their data as compared to the four other schemes.…”

Section: Mean Trust Valuementioning

confidence: 99%

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

Alvi,

Ali,

Saleh

et al. 2024

Applied Sciences

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The popularity of fog-enabled smart cities is increasing due to the advantages provided by modern communication and information technologies, which contribute to an improved quality of life. Wireless networks make them more vulnerable when the network is under malicious attacks that cause a collision in the medium. Furthermore, diverse applications of smart cities demand a contention-free medium access control (MAC) protocol to meet adaptive data requirements. In this work, a time-slot-based medium access control protocol to meet adaptive data requirements (TMPAD) for IoT nodes in fog-enabled smart cities is proposed. TMPAD proposes a trust mechanism to differentiate malicious and legitimate data requests. In addition, it accommodates more legitimate data-requesting nodes to transfer their data during a session by applying the technique for order performance by similarity to ideal solution (TOPSIS) and 0/1 knapsack algorithm. The performance of TMPAD is compared with well-known techniques such as first come first serve (FCFS), shortest job first (SJF), and longest job first (LJF) in different prospective scenarios. The results show that TMPAD scrutinizes more data-requesting nodes in slot allocation, allowing more data transmission in a session, with better mean trust value, as compared to other algorithms.

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Section: Mean Trust Valuementioning

confidence: 99%

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

Alvi,

Ali,

Saleh

et al. 2024

Applied Sciences

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“…In recent years MEC has received significant attention from the academic and industrial communities [1]. MEC alleviates the shortcomings of traditional cloud computing by minimizing the delay of computation services for mobile devices [2]. One of MEC's critical challenges is selecting an efficient placement of the cloudlet and task offloading decision [3].…”

Section: Introductionmentioning

confidence: 99%

Cloudlet Based Computing Optimization Using Variable-Length Whale Optimization and Differential Evolution

et al. 2023

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Cloudlet-based optimization involves deploying a set of cloudlets in an environment and assigning user tasks to optimize various metrics, including energy consumption, quality of service (QoS), and cost. Typically, approaches deal with them separately, which might cause sub-optimality. Furthermore, assuming the fixed location of the cloudlets will limit the dynamic adaptability of the problem. Enabling more optimality and adaptability to the dynamic nature of cloudlet-based computing, we propose a novel Variable-Length multi-objective Whale optimization Integrated with Differential Evolution designated as VL-WIDE. Unlike the existing optimization algorithm, VL-WIDE features the capability of searching different lengths of solutions to cover the variable number of cloudlets for deployment. Furthermore, it enables a non-dominated evaluation of solutions based on four objectives using crowding distance for selection. It provides an application-oriented solutions repair operator for repairing non-valid solutions and assuring that all solutions are generated in the feasible region. The proposed algorithm enables moving the cloudlets among pre-defined locations to increase the quality of service according to the change in the user density caused by user mobility. Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. VL-WIDE has provided the best in a number of non-dominated solutions and delta metrics and was competitive in other metrics.INDEX TERMS Mobile edge computing environment, cloudlet deployment, task offloading, multi-objective optimization, variable-length optimization.

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Computing offloading and resource scheduling based on DDPG in ultra-dense edge computing networks

Du,

Wang,

Gao

2023

J Supercomput

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Computation power maximization for mobile edge computing enabled dense network

Cited by 5 publications

References 47 publications

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

Cloudlet Based Computing Optimization Using Variable-Length Whale Optimization and Differential Evolution

Computing offloading and resource scheduling based on DDPG in ultra-dense edge computing networks

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