Application association and load balancing to enhance energy efficiency in heterogeneous wireless networks

被引:8
作者
Wen, Yean-Fu [1 ]
Lien, Tzu-Heng [1 ]
Lin, FrankYeong-Sung [2 ]
机构
[1] Natl Taipei Univ, Grad Inst Informat Management, New Taipei, Taiwan
[2] Natl Taiwan Univ, Dept Informat Management, Taipei, Taiwan
关键词
Application; Association; Energy efficiency; Load balancing; Heterogeneous wireless network; RESOURCE-MANAGEMENT; SENSOR NETWORKS; SELECTION; FRAMEWORK; DECISION; SYSTEMS; SCHEME;
D O I
10.1016/j.compeleceng.2018.04.013
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Next-generation wireless networks enable the production of mobile devices that support various types of network. The coordinated multipoint (COMP) technology enables mobile devices to connect to multiple access points (APs) and remote radio heads (RRHs). Achieving load balancing for running various types of application with various transmission characteristics has become critical to ensure energy efficiency of devices. This study presented a game-based analysis of applications and wireless network characteristics, and proposed an application-based weighted load-balancing wireless network association to reduce average energy consumption. To compare the energy efficiency and rotation fairness levels of various heterogeneous wireless network associations, three experimental scenarios were evaluated: i) random, ii) transmission-bound, and iii) intermittence-bound applications, with varying i) numbers of mobile devices, ii) numbers of RRHs, iii) numbers of Wi-Fi APs, and iv) signal ranges. Subsequently, based on the experimental results, the relevant concerns and findings were discussed.
引用
收藏
页码:348 / 365
页数:18
相关论文
共 30 条
[1]   Network selection algorithm based on link quality parameters for heterogeneous wireless networks [J].
Ahuja, Kiran ;
Singh, Brahmjit ;
Khanna, Rajesh .
OPTIK, 2014, 125 (14) :3657-3662
[2]   Load Balancing in Heterogeneous Networks Based on Distributed Learning in Near-Potential Games [J].
Ali, Mohd. Shabbir ;
Coucheney, Pierre ;
Coupechoux, Marceau .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (07) :5046-5059
[3]   Game theory for energy efficiency in Wireless Sensor Networks: Latest trends [J].
AlSkaif, Tarek ;
Guerrero Zapata, Manel ;
Bellalta, Boris .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 54 :33-61
[4]  
[Anonymous], 1998, CoRR
[5]   Simplified and improved multiple attributes alternate ranking method for vertical handover decision in heterogeneous wireless networks [J].
Chandavarkar, B. R. ;
Guddeti, Ram Mohana Reddy .
COMPUTER COMMUNICATIONS, 2016, 83 :81-97
[6]   Energy-efficient heterogeneous resource management for wireless monitoring systems [J].
Chang, Che-Wei ;
Liu, Chun-Yi ;
Yang, Chuan-Yue .
JOURNAL OF SYSTEMS AND SOFTWARE, 2017, 131 :168-180
[7]   Radio access technology selection in SDN controlled reconfigurable base station [J].
Das, Dibakar ;
Das, Debabrata .
COMPUTERS & ELECTRICAL ENGINEERING, 2018, 66 :260-273
[8]   A Survey of 5G Network: Architecture and Emerging Technologies [J].
Gupta, Akhil ;
Jha, Rakesh Kumar .
IEEE ACCESS, 2015, 3 :1206-1232
[9]   An Automated Dynamic Offset for Network Selection in Heterogeneous Networks [J].
Haddad, Majed ;
Wiecek, Piotr ;
Sidi, Habib B. A. ;
Altman, Eitan .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2016, 15 (09) :2151-2164
[10]   Utility-based RAT selection optimization in heterogeneous wireless networks [J].
Kosmides, Pavlos ;
Rouskas, Angelos ;
Anagnostou, Miltiades .
PERVASIVE AND MOBILE COMPUTING, 2014, 12 :92-111