Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 157
This Paper With 9 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JADM-10-3_001
تاریخ نمایه سازی: 9 مهر 1401
Abstract:
Minimizing make-span and maximizing remaining energy are usually of chief importance in the applications of wireless sensor actor networks (WSANs). Current task assignment approaches are typically concerned with one of the timing or energy constraints. These approaches do not consider the types and various features of tasks WSANs may need to perform and thus may not be applicable to some types of real applications such as search and rescue missions. To this end, an optimized and type aware task assignment approach called TATA is proposed that considers the energy consumption as well as the make-span. TATA is an optimized task assignment approach and aware of the distribution necessities of WSANs with hybrid architecture. TATA comprises of two protocols, namely a Make-span Calculation Protocol (MaSC) and an Energy Consumption Calculation Protocol (ECal). Through considering both time and energy, TATA makes a tradeoff between minimizing make-span and maximizing the residual energies of actors. A series of extensive simulation results on typical scenarios show shorter make-span and larger remaining energy in comparison to when stochastic task assignment (STA), opportunistic load balancing (OLB), and task assignment algorithm based on quasi-Newton interior point (TA-QNIP) approaches is applied.
Keywords:
Authors
M. R. Okhovvat
Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
M. T. Kheirabadi
Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
A. Nodehi
Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
M. Okhovvat
Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :