Literature DB >> 36236682

A Primal-Dual-Based Power Control Approach for Capacitated Edge Servers.

Qinghui Zhang1, Weidong Li2, Qian Su1, Xuejie Zhang1.   

Abstract

The intensity of radio waves decays rapidly with increasing propagation distance, and an edge server's antenna needs more power to form a larger signal coverage area. Therefore, the power of the edge server should be controlled to reduce energy consumption. In addition, edge servers with capacitated resources provide services for only a limited number of users to ensure the quality of service (QoS). We set the signal transmission power for the antenna of each edge server and formed a signal disk, ensuring that all users were covered by the edge server signal and minimizing the total power of the system. This scenario is a typical geometric set covering problem, and even simple cases without capacity limits are NP-hard problems. In this paper, we propose a primal-dual-based algorithm and obtain an m-approximation result. We compare our algorithm with two other algorithms through simulation experiments. The results show that our algorithm obtains a result close to the optimal value in polynomial time.

Entities:  

Keywords:  approximation algorithm; edge computing; power control; power cover; primal–dual

Year:  2022        PMID: 36236682      PMCID: PMC9571486          DOI: 10.3390/s22197582

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.847


  1 in total

1.  Self-Learning Power Control in Wireless Sensor Networks.

Authors:  Michele Chincoli; Antonio Liotta
Journal:  Sensors (Basel)       Date:  2018-01-27       Impact factor: 3.576

  1 in total

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