Resource Management and Scheduling in WSNs Powered by Ambient Energy Harvesting

2017 ◽  
pp. 101-117 ◽  
Author(s):  
Neyre Tekbiyik ◽  
Elif Uysal-Biyikoglu
Keyword(s):  
Resource Management ◽  
Energy Harvesting

scholarly journals Resource Management in Energy Harvesting Cooperative IoT Network under QoS Constraints

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3560 ◽  
Author(s):  
Maliha Amjad ◽  
Ashfaq Ahmed ◽  
Muhammad Naeem ◽  
Muhammad Awais ◽  
Waleed Ejaz ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Cooperative Communication ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Management Problem ◽  
Decode And Forward ◽  
Relay Assignment ◽  
Sum Rate

Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.

scholarly journals Resource Management in Energy Harvesting Cooperative IoT Network under QoS Constraints

2021 ◽  
Author(s):  
Maliha Amjad ◽  
Ashfaq Ahmed ◽  
Muhammad Naeem ◽  
Muhammad Awais ◽  
Waleed Ejaz ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Cooperative Communication ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Management Problem ◽  
Decode And Forward ◽  
Relay Assignment ◽  
Sum Rate

Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.

scholarly journals Energy-Efficient Online Resource Management and Allocation Optimization in Multi-User Multi-Task Mobile-Edge Computing Systems with Hybrid Energy Harvesting

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3140 ◽  
Author(s):  
Heng Zhang ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Yiqing Deng ◽  
Yutong Xiao ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Resource Management ◽  
Energy Harvesting ◽  
Energy Efficient ◽  
Green Energy ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Hybrid Energy ◽  
Stability Constraint ◽  
Queue Stability

Mobile Edge Computing (MEC) has evolved into a promising technology that can relieve computing pressure on wireless devices (WDs) in the Internet of Things (IoT) by offloading computation tasks to the MEC server. Resource management and allocation are challenging because of the unpredictability of task arrival, wireless channel status and energy consumption. To address such a challenge, in this paper, we provide an energy-efficient joint resource management and allocation (ECM-RMA) policy to reduce time-averaged energy consumption in a multi-user multi-task MEC system with hybrid energy harvested WDs. We first formulate the time-averaged energy consumption minimization problem while the MEC system satisfied both the data queue stability constraint and energy queue stability constraint. To solve the stochastic optimization problem, we turn the problem into two deterministic sub-problems, which can be easily solved by convex optimization technique and linear programming technique. Correspondingly, we propose the ECM-RMA algorithm that does not require priori knowledge of stochastic processes such as channel states, data arrivals and green energy harvesting. Most importantly, the proposed algorithm achieves the energy consumption-delay trade-off as [ O ( 1 / V ) , O ( V ) ] . V, as a non-negative weight, which can effectively control the energy consumption-delay performance. Finally, simulation results verify the correctness of the theoretical analysis and the effectiveness of the proposed algorithm.

scholarly journals Resource Management in Energy Harvesting Cooperative IoT Network under QoS Constraints

2021 ◽  
Author(s):  
Maliha Amjad ◽  
Ashfaq Ahmed ◽  
Muhammad Naeem ◽  
Muhammad Awais ◽  
Waleed Ejaz ◽  
...  
Keyword(s):  
Resource Management ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Cooperative Communication ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Management Problem ◽  
Decode And Forward ◽  
Relay Assignment ◽  
Sum Rate

Cooperative communication with RF energy harvesting relays has emerged as a promising technique to improve the reliability, coverage, longevity and capacity of future IoT networks. An efficient relay assignment with proper power allocation and splitting is required to satisfy the network’s QoS requirements. This work considers the resource management problem in decode and forward relay based cooperative IoT network. A realistic mathematical model is proposed for joint user admission, relay assignment, power allocation and splitting ratio selection problem. The optimization problem is a mixed integer non-linear problem (MINLP) whose objective is to maximize the overall sum rate (bps) while satisfying the practical network constraints. Further, an outer approximation algorithm is adopted which provides epsilon-optimal solution to the problem with guaranteed convergence and reasonable complexity. Simulations of the proposed solution are carried out for various network scenarios. The simulation results demonstrate that cooperative communication with diversity achieves a better admission of IoT users and increases not only their individual data rates but also the overall sum rate of an IoT network.

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