Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model

A fundamental problem in wireless networks is the maximum link scheduling (MLS) problem. In this problem, interference is a key issue and past researchers have shown that determining reception using Signal-to-Interference plus Noise Ratio (SINR) is more realistic than graph-based interference models...

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Main Authors: Zi-Ao Zhou, Chang-Geng Li
Format: Article
Language:English
Published: Wiley 2015-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/120812
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author Zi-Ao Zhou
Chang-Geng Li
author_facet Zi-Ao Zhou
Chang-Geng Li
author_sort Zi-Ao Zhou
collection DOAJ
description A fundamental problem in wireless networks is the maximum link scheduling (MLS) problem. In this problem, interference is a key issue and past researchers have shown that determining reception using Signal-to-Interference plus Noise Ratio (SINR) is more realistic than graph-based interference models. Unfortunately, the MLS problem has been proven to be NP-hard for SINR interference models. To date, several approximation algorithms have been proposed to solve MLS under the SINR-based interference model. However, most of these works do not have either an approximation bound or a distributed version. To this end, we present a novel scheduling method with a constant approximation ratio which is much simpler and only 1/28 of it in past research. The improvement of constant ϕ also offers a better MLS set. In addition, based on our centralized method, we present a polynomial time, randomized, distributed algorithm, which only requires estimates of the number of links, and maximum and minimum link lengths. We prove its correctness and show that it can compute a MLS with time complexity of O ( lo g 2 n ) , where n is an estimate of the number of links.
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spelling doaj-art-25819ec4fa484690ae4873af1fb39f412025-08-20T02:04:27ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/120812120812Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference ModelZi-Ao ZhouChang-Geng LiA fundamental problem in wireless networks is the maximum link scheduling (MLS) problem. In this problem, interference is a key issue and past researchers have shown that determining reception using Signal-to-Interference plus Noise Ratio (SINR) is more realistic than graph-based interference models. Unfortunately, the MLS problem has been proven to be NP-hard for SINR interference models. To date, several approximation algorithms have been proposed to solve MLS under the SINR-based interference model. However, most of these works do not have either an approximation bound or a distributed version. To this end, we present a novel scheduling method with a constant approximation ratio which is much simpler and only 1/28 of it in past research. The improvement of constant ϕ also offers a better MLS set. In addition, based on our centralized method, we present a polynomial time, randomized, distributed algorithm, which only requires estimates of the number of links, and maximum and minimum link lengths. We prove its correctness and show that it can compute a MLS with time complexity of O ( lo g 2 n ) , where n is an estimate of the number of links.https://doi.org/10.1155/2015/120812
spellingShingle Zi-Ao Zhou
Chang-Geng Li
Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
International Journal of Distributed Sensor Networks
title Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
title_full Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
title_fullStr Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
title_full_unstemmed Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
title_short Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
title_sort approximation algorithms for maximum link scheduling under sinr based interference model
url https://doi.org/10.1155/2015/120812
work_keys_str_mv AT ziaozhou approximationalgorithmsformaximumlinkschedulingundersinrbasedinterferencemodel
AT changgengli approximationalgorithmsformaximumlinkschedulingundersinrbasedinterferencemodel