Energy‐aware quality of information maximisation for wireless sensor networks

Du, Pengfei; Yang, Qinghai; He, Qingsu; Kwak, Kyung Sup

doi:10.1049/iet-com.2015.1064

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Similarity to [22] and [23], we apply the Lyapunov optimization technique to design an online policy to settle problem P 1 . Let (t) [Q(t), Y (t), Z (t)] represent the concatenated vector of all Q i (t) and Y i (t), and Z i (t).…”

Section: B Lyapunov Optimizationmentioning

confidence: 99%

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ADMM-Based Distributed Online Algorithm for Energy Management in Hybrid Energy Powered Cellular Networks

Zhai

et al. 2019

IEEE Access

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Energy harvesting has been considered as a promising technique to decrease the conventional grid energy expenditure. However, most renewable energy sources are unreliable and random. To overcome these drawbacks, besides the commonly adopted approaches such as purchasing power from the grid and deploying batteries, energy cooperation is an appealing solution. In this paper, we investigate the energy management problem by jointly optimizing the data admission rate, transmit power, energy sharing among base stations (BSs), battery charging and discharging rate, and the energy purchased from the grid in hybrid energy powered cellular networks. First, the long-term average total cost minimization problem under the constraints on limited battery size and users' data rate requirements is formulated as a stochastic optimization problem. Employing the Lyapunov optimization technique and alternating direction method of multipliers (ADMM), we propose an online distributed algorithm, referred to as distributed online energy management algorithm (DOEMA), where the current system states are needed, without requiring the system statistic or future information. Furthermore, the proposed algorithm can be implemented in a parallel and completely distributed fashion, which could provide more engineering guidelines for practical communication protocols compared with the centralized algorithm. The extensive simulation results are conducted to demonstrate the correctness of the theoretical analysis and validate the performance improvement against other algorithms in terms of system total cost reduction.INDEX TERMS Multi-cell networks, renewable energy, energy cooperation, stochastic optimization, ADMM, distributed online algorithm.QI ZENG received the Ph.D. degree in communication and information system from

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Section: B Lyapunov Optimizationmentioning

confidence: 99%

“…To deal with problem P 3 , we adopt {λ k,i (t)} as the dual variables with respect to constraint (20), and thus the augmented Lagrangian for problem P 3 is given by (22), as shown at the top of this page, where ρ > 0 is a parameter for the quadratic penalty of constraint.…”

Section: ) Admm-based Distributed Energy Management Algorithmmentioning

confidence: 99%

ADMM-Based Distributed Online Algorithm for Energy Management in Hybrid Energy Powered Cellular Networks

Zhai

et al. 2019

IEEE Access

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“…To improve the quality of network information, there are some parameters such as the delay in the network and the packet reached at the base station. According to existing literature, there are mainly three cases for energy efficiency: circuit energy consumption, energy consumption reduced by dynamically sensor nodes, and power consumption by appropriate transmitting polices [1]. Generally sensing information in many application areas is useless and meaningless without real time and space knowledge.…”

Section: Introductionmentioning

confidence: 99%

Average Energy Analysis in Wireless Sensor Networks using Multitier Architecture

Singh¹

2019

IJPE

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The energy of sensor nodes plays a vital role in wireless sensor networks for different purposes such as sensing events, communicating among sensor nodes, and transmitting information from one node to another node. The average energy of the network is referred to as the ratio of the total energy of all sensor nodes in the network to the number of nodes. In this paper, multitier architecture is proposed for calculating the average energy and throughput of the network in terms of the number of packets reached at the base station (BS). The proposed approach has been compared with two existing approaches, the low energy adaptive clustering hierarchy and stable election protocol, in terms of average energy and throughput of the network. This paper presents the average energy of each node in the network in both 2D and 3D views for better interpretation of results. The proposed approach is 19.79% better in terms of average energy compared with the stable election protocol. The proposed approach is further compared with the low energy adaptive clustering hierarchy protocol and is found to be 34.20% better.

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A CSMA/CA based MAC protocol for hybrid Power-line/Visible-light communication networks: Design and analysis

Sheng¹,

Zhang²,

Yang³

et al. 2024

Digital Communications and Networks

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Energy‐aware quality of information maximisation for wireless sensor networks

Cited by 4 publications

References 22 publications

ADMM-Based Distributed Online Algorithm for Energy Management in Hybrid Energy Powered Cellular Networks

ADMM-Based Distributed Online Algorithm for Energy Management in Hybrid Energy Powered Cellular Networks

Average Energy Analysis in Wireless Sensor Networks using Multitier Architecture

A CSMA/CA based MAC protocol for hybrid Power-line/Visible-light communication networks: Design and analysis

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