On the Optimization Model for Multi-Hop Information Transmission and Energy Transfer in TDMA-Based Wireless Sensor Networks

Xu, Weiqiang; Cheng, Weiwei; Zhang, Yushu; Shi, Qingjiang; Wang, Xiaodong

doi:10.1109/lcomm.2017.2652443

Cited by 17 publications

(14 citation statements)

References 12 publications

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“…As a result of these limitations, both academia and industry are currently making efforts toward seeking solutions to the aforementioned problems. Among the issues raised in WSNs, the energy scarcity problem is the greatest of all, as the operation of other modules depends on energy [17,18]. The problem of energy scarcity in WSNs has been in existence for a long time on the account of the limited energy budget of the batteries that are typically used for powering the sensor nodes in WSN systems [2,19].…”

Section: Introductionmentioning

confidence: 99%

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

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In this paper, a new approach to energy harvesting and data transmission optimization in a heterogeneous-based multi-class and multiple resource wireless transmission wireless sensor network system that focus on monitoring water and its quality is presented. Currently, energy is a scarce resource in wireless sensor networks due to the limited energy budget of batteries, which are typically employed for powering sensors. Once the available energy of a particular sensor node battery is depleted, such sensor node becomes inactive in a network. As a consequence, such node may not be able to participate in the transmission of the application signal in the uplink stage of the network, resulting in a lack of ability to communicate vital signals in a timely manner. Energy scarcity has been a long standing problem in wireless sensor network applications. To address this problem, energy harvesting from intended radiofrequency power source is considered in this work. However, wirelessly powered wireless sensor network systems are confronted by unfairness in resource allocation problem, as well as interference problem in multiple energy resource transmissions. These problems adversely impact the performance of the system in the context of the harvested energy by the sensor nodes, sensors information transmission rates, and the overall system throughput rate. These problems are tackled in this paper by formulating a sum-throughput maximization problem to reduce system energy consumption and enhance the system overall throughput rate. The throughput optimization problem is formulated as a non-convex function. Through the exploitation of the problem structure, it is converted to a convex function. The mathematical models of the optimization problem are validated through numerical simulations. The simulation results reveal that the proposed wireless powered sensor network system outperforms an existing wireless powered sensor network system, by comparison of the numerical simulations of this work to the numerical simulations of the existing WPSN system, regardless of the distances of the sensor nodes to the IPS and the base station. Also, the newly proposed method performs efficiently using parameters that include path-loss exponent impact, performance comparison of systems, convergence based on iteration, comparison based on unequal network distances to the BS, transmission power impact on the attainable throughput and on fraction of energy consumed on information transmissions, and influence of different number of nodes in the network classes.

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Section: Introductionmentioning

confidence: 99%

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

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“…Fouladgar et al [21] investigates the optimization problem of simultaneous information and energy flows in graph-based communication networks with energy transfer. In [22], a model of multi-hop information transmission and energy transfer in TDMA-based multi-hop WSNs is proposed. Among previous studies, the most related to ours is that in [11], which investigates the delay minimization problem in the energy harvesting wireless communication networks with energy transfer.…”

Section: Introductionmentioning

confidence: 99%

“…Among previous studies, the most related to ours is that in [11], which investigates the delay minimization problem in the energy harvesting wireless communication networks with energy transfer. However, though Gurakan et al [11], Fouladgar et al [21] and Xu et al [22] study the optimization problem of the joint information transmission and energy transfer, they neglect the interference among the data links. These motivate us to consider a general capacity assignment problem which is to minimize total delay in the energy harvesting WSNs with interference channels.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels

Jiao

Liu

et al. 2019

Sensors

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In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed topologies of data and energy, we formulate the optimization problem when the data flow remains constant on all data links and each sensor node harvests energy only once in a time slot. We focus on the optimal data rates, power allocations and energy transfers between sensor nodes in a time slot. Our goal is to minimize the total delay in the network under two scenarios, i.e., no energy transfer and energy transfer. Furthermore, since the optimization problem is non-convex and difficult to solve directly, by considering the network with the relatively high signal-to-interference-plus-noise ratio (SINR), the non-convex optimization problem can be transformed into a convex optimization problem by convex approximation. We attain the properties of the optimal solution by Lagrange duality and solve the convex optimization problem by the CVX solver. The experimental results demonstrate that the total delay of the energy harvesting WSNs with interference channels is more than that in the orthogonal channel; the total network delay increases with the increasing data flow for the fixed energy arrival rate; and the energy transfer can help to decrease the total delay.

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“…ARFES are unpredictable, while DRFES are predictable. Without efficient energy storage technology, the existing RF EH solutions based on ambient RF energy sources are not sustainable due to the unpredictable and the time-varying profile of ARFES [ 20 ]. To make the operation of WSN applications to be ever sustainable, RF EH from multiple DRFES is a promising technique [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Energy and Throughput of a Water-Quality Monitoring System

Olatinwo

Joubert

2018

Sensors

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This work presents a new approach to the maximization of energy and throughput in a wireless sensor network (WSN), with the intention of applying the approach to water-quality monitoring. Water-quality monitoring using WSN technology has become an interesting research area. Energy scarcity is a critical issue that plagues the widespread deployment of WSN systems. Different power supplies, harvesting energy from sustainable sources, have been explored. However, when energy-efficient models are not put in place, energy harvesting based WSN systems may experience an unstable energy supply, resulting in an interruption in communication, and low system throughput. To alleviate these problems, this paper presents the joint maximization of the energy harvested by sensor nodes and their information-transmission rate using a sum-throughput technique. A wireless information and power transfer (WIPT) method is considered by harvesting energy from dedicated radio frequency sources. Due to the doubly near–far condition that confronts WIPT systems, a new WIPT system is proposed to improve the fairness of resource utilization in the network. Numerical simulation results are presented to validate the mathematical formulations for the optimization problem, which maximize the energy harvested and the overall throughput rate. Defining the performance metrics of achievable throughput and fairness in resource sharing, the proposed WIPT system outperforms an existing state-of-the-art WIPT system, with the comparison based on numerical simulations of both systems. The improved energy efficiency of the proposed WIPT system contributes to addressing the problem of energy scarcity.

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On the Optimization Model for Multi-Hop Information Transmission and Energy Transfer in TDMA-Based Wireless Sensor Networks

Cited by 17 publications

References 12 publications

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels

Optimizing the Energy and Throughput of a Water-Quality Monitoring System

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