Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness

Resource allocation is expected to be a most important factor especially for heterogeneous applications in wireless ad hoc networks. In this paper, a novel heterogeneous resource allocation algorithm (HRA) is presented for ad hoc networks, supporting both elastic and inelastic traffic. First, by com...

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Main Authors: Bing-Qing Han, Guo-Fu Feng, Yi-Fei Chen
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/686189
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author Bing-Qing Han
Guo-Fu Feng
Yi-Fei Chen
author_facet Bing-Qing Han
Guo-Fu Feng
Yi-Fei Chen
author_sort Bing-Qing Han
collection DOAJ
description Resource allocation is expected to be a most important factor especially for heterogeneous applications in wireless ad hoc networks. In this paper, a novel heterogeneous resource allocation algorithm (HRA) is presented for ad hoc networks, supporting both elastic and inelastic traffic. First, by combining the first order Lagrangian method with pseudo utility, the original nonconvex problem is converted into a new convex one. Then, we successfully solve the heterogeneous problem with the dual-based decomposition approach. In addition, we integrate utility fairness into the resource allocation framework, which can adaptively manage the tradeoff between elastic and inelastic flows. Simulations show and prove that HRA converges fast and can achieve the global optimum starting from many different network conditions, such as elastic, inelastic, and hybrid scenario. With both considerations of flow rate and utility fairness, HRA improves the overall network utility and system throughput greatly.
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spelling doaj.art-2d740d8878bf4748a3f10553edf05e372023-08-02T00:24:19ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-01-011110.1155/2015/686189686189Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility FairnessBing-Qing HanGuo-Fu FengYi-Fei ChenResource allocation is expected to be a most important factor especially for heterogeneous applications in wireless ad hoc networks. In this paper, a novel heterogeneous resource allocation algorithm (HRA) is presented for ad hoc networks, supporting both elastic and inelastic traffic. First, by combining the first order Lagrangian method with pseudo utility, the original nonconvex problem is converted into a new convex one. Then, we successfully solve the heterogeneous problem with the dual-based decomposition approach. In addition, we integrate utility fairness into the resource allocation framework, which can adaptively manage the tradeoff between elastic and inelastic flows. Simulations show and prove that HRA converges fast and can achieve the global optimum starting from many different network conditions, such as elastic, inelastic, and hybrid scenario. With both considerations of flow rate and utility fairness, HRA improves the overall network utility and system throughput greatly.https://doi.org/10.1155/2015/686189
spellingShingle Bing-Qing Han
Guo-Fu Feng
Yi-Fei Chen
Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
International Journal of Distributed Sensor Networks
title Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
title_full Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
title_fullStr Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
title_full_unstemmed Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
title_short Heterogeneous Resource Allocation Algorithm for Ad Hoc Networks with Utility Fairness
title_sort heterogeneous resource allocation algorithm for ad hoc networks with utility fairness
url https://doi.org/10.1155/2015/686189
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AT guofufeng heterogeneousresourceallocationalgorithmforadhocnetworkswithutilityfairness
AT yifeichen heterogeneousresourceallocationalgorithmforadhocnetworkswithutilityfairness