Performance Analysis of Balanced Minimum Execution Time Grid Task scheduling Algorithm

Hemamalini, M.; Srinath, M. V.

doi:10.20894/ijcnes.103.005.002.001

Cited by 1 publication

(1 citation statement)

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“…The applied hybrid optimization mechanism based on the minimum execution time (MET) packet scheduling method and moth flame optimization (MFO) scheme to provide the optimal route. In the MET method, the packets (tasks) are assigned to the mobile nodes in reliance on the finest predictable completion intervals of the process execution without paying attention to the resource accessibility [48,49]. The execution time represents the required time interval to process the packet on the node without interruption [50].…”

Section: Minimum Execution Time (Met) Scheduling Algorithmmentioning

confidence: 99%

A novel dynamic source routing (DSR) protocol based on minimum execution time scheduling and moth flame optimization (MET-MFO)

Almazok

Bilgehan

2020

J Wireless Com Network

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In general, the conventional routing approaches in mobile ad hoc networks (MANETs) provide a route between the source and the target with a minimum hop count. Dynamic source routing (DSR) as a typical prototype of routing protocols relies on the minimum hop count parameter to provide the path without considering any other factors such as energy consumption and node energy level, which significantly affect the routing algorithm performance. To enhance the performance of the DSR, a novel and efficient routing mechanism based on a hybrid approach using the minimum execution time (MET) scheduling and moth flame optimization (MFO) scheme is proposed. This hybridization version of DSR is called the (MET-MFODSR) algorithm, and it aims to improve the routing mechanism through establishing an optimal route with minimum energy consumption, which increases the network lifetime and reduces route failure issues. The proposed MET-MFODSR protocol is implemented using the MATLAB platform, analyzed and evaluated in different simulation environments. The simulation results demonstrate that the suggested routing algorithm is applicative and practicable, and its performance exceeds the performance of the existing Bee DSR (BEEDSR) and Bee-inspired protocol (BeeIP) algorithms.

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Section: Minimum Execution Time (Met) Scheduling Algorithmmentioning

confidence: 99%