Energy-Aware Group LBS Using D2D Offloading and M2M-Based Mobile Proxy Handoff Mechanisms Over the Mobile Converged Networks

Huang, Chung‐Ming; Lee, Chao-Hsien; Lai, Hsin-Yi

doi:10.1109/tetc.2015.2417674

Cited by 9 publications

(14 citation statements)

References 23 publications

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“…Bhardwaj and Agnihotri [20] proposed a scheme to minimize the interference among D2D users and cellular users through a resource allocation scheme. Huang et al [21] utilized D2D multicast over the Wi-Fi network to offload traffic from cellular network. However, these above studies mainly utilize the physical domain information to maximize the network transmission rate, where users are supposed to be altruistic and eager to collaborate with each other.…”

Section: Mobile Information Systemsmentioning

confidence: 99%

“…Since each DUE in the multicast group either acts as a CH or acts as a receiver. Consequently, we can calculate the remaining energy of each user according to (21). It can be inferred that the DUE that consumes less energy in the multicast period will survive longer.…”

Section: Social and Energy-aware Cluster Head Updated Algorithmmentioning

confidence: 99%

“…Compute Re from (19)- (21), (8) if Re > Γ Energy (9) A = A \ {DUE }, (10) = + 1, (11) else (12) = + 1, (13) end if (14) else (15) = + 1, a × symmetric matrix H, it can be diagonalized using its eigenvalues and eigenvectors as follows:…”

Section: Social and Energy-aware Cluster Head Updated Algorithmmentioning

confidence: 99%

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Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Jiang

Liu

et al. 2017

Mobile Information Systems

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In this paper, by utilizing the social relationships among mobile users, we present a framework of energy-efficient cluster formation and resource allocation for multicast D2D transmission. In particular, we first deal with D2D multicast cluster/group formation strategy from both physical distance and social trust level. Then we aim to maximize the overall energy-efficiency of D2D multicast groups through resource allocation and power control scheme, which considers the quality-of-service (QoS) requirements of both cellular user equipment and D2D groups. A heuristic algorithm is proposed to solve above energy-efficiency problem with less complexity. After that, considering the limited battery capacity of mobile users, we propose an energy and social aware cluster head update algorithm, which incorporates both the energy constraint and social centrality measurement. Numerical results indicate that the proposed social-tie based D2D multicast group formation and update algorithm form a multicast group in an energy efficient way. Moreover, the proposed resource and power allocation scheme achieves better energy efficiency in terms of throughput per energy consumption. These results show that, by exploiting social domain information, underlay D2D multicast transmission has high practical potential in saving the source on wireless links and in the backhaul.

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Section: Mobile Information Systemsmentioning

confidence: 99%

Section: Social and Energy-aware Cluster Head Updated Algorithmmentioning

confidence: 99%

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Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Jiang

Liu

et al. 2017

Mobile Information Systems

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“…The group‐based touring system considers issues that may exist when a number of persons are using the LBS system to tour together. ()…”

Section: Introductionmentioning

confidence: 99%

“…In this way, it can not only reduce the traffic load and save bandwidth/expense in the cellular network side but also save the power consumption according to our colleague's works. () The reason is that the power consumption of using 3G/3.5G/4G cellular networks is higher than that of using Wi‐Fi networks.…”

Section: Introductionmentioning

confidence: 99%

K‐MING: A mobile proxy handoff control scheme for proximate group‐based geodata sharing

Huang

Ming

2017

Softw Pract Exp

Self Cite

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This work adopts a mobile social network in proximity (MSNP)-centric group touring service concept to share geo-points of interest's (POIs') data among mobile users belonging to the same touring group. In a group-based touring service, a mobile user can create a group in the MSNP that can consist of some clusters in which some members having the 3G/3.5G/4G cellular network service are selected as cluster leaders to enable their Wi-Fi hot spot functions as mobile proxies. After that, each group member can join one of the clusters by connecting with a cluster leader's Wi-Fi hot spot. Thereafter, each cluster leader downloads geo-POIs' data using 3G/3.5G/4G cellular network and then shares the downloaded POIs' data with its cluster members through its Wi-Fi hot spot. This work proposed a handoff mechanism such that each mobile user can handoff from its currently connected cluster to the other one that belongs to the same MNSP group. The main handoff concern is that each handheld device only allows a limited number of handheld devices to connect with its Wi-Fi hot spot at the same time. This work proposed a K-member-limited MSNP-based INter Group handoff scheme called K-MING to tackle the handoff problem. The performance analysis shows that K-MING for the group touring scenario has better performance for the sharing of geo-POIs' data downloading in terms of average power consumption and average downloaded data volume from 3G/3.5G/4G cellular network than that of the individual touring scenario. KEYWORDSclustering mechanism, data sharing, group-based touring service, location-based service, mobile social networks in proximity 600 /journal/spe Softw Pract Exper. 2018;48:600-620. HUANG AND MAI 601POI. 1,2 Two types of the LBS touring service are (1) individual-based and (2) group-based. The individual-based touring system considers issues that may exist when 1 person is using the LBS system for helping his touring. 3 The group-based touring system considers issues that may exist when a number of persons are using the LBS system to tour together. [4][5][6] Mobile social networks (MSNs), which are similar to online social networks, have raised enormous research studies. 7,8 Mobile social network integrates social networks and wireless communications in the mobile environments. It can be considered as an application or system that creates virtual communities and provides various contents among mobile users, for which mobile users can join any community that was created by other mobile users using any mobile device. Proximity service is a new service that allows neighboring mobile devices to use device-to-device (D2D) or terminal-to-terminal communication to share data with each other. 9,10 Some MSNs consider proximity, ie, nearby mobile users are interacting with each other directly using the D2D/terminal-to-terminal communication technique, which is called MSN in proximity (MSNP). 11,12 A mobile user can utilize either his handheld device's Bluetooth or Wi-Fi interface to detect proximate mobile users' handheld devices an...

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Proximate sharing of geo data using the credit‐considered mobile edge computing server switching control scheme

Huang

Chen

2020

Softw Pract Exp

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This paper proposed a mobile edge computing (MEC)-based point of interests (POIs) downloading and proximate sharing system for a group of people, who belong to the same mobile social networks in proximity (MSN-P) and whose handheld devices are connected in a tree-like structure. Using the proposed system, the root handheld device plays the role of an MEC server and is charge of downloading POIs' contents from the remote cloud server using 4G/5G cellular network and then forwarding POIs' contents to other group members' handheld devices using device-to-device (D2D) communication. Since the number of connected handheld devices in each handheld device is limited using D2D communication, this work proposed a control scheme called k-Connection-Limited and n-Hop (kCL-nH) tree topology's construction scheme to achieve the proximate sharing of POIs' contents. Additionally, since the root handheld device consumes more battery power than others, this work proposed a control scheme that has each group member's handheld device to be the root handheld device alternatively. A credit scheme was thus proposed to denote each handheld device's contribution, which is referred for the selecting of the next root handheld device, to achieve the fairness concern. Then, the control scheme, which is executed in the corresponding MEC server, considering both remaining battery power and credit for the switching of the root handheld device was designed. The proposed method was developed using Wi-Fi Direct over the iOS system. Experimental results have shown some interested results among power consumption, downloaded data volume and fairness among all handheld devices.

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Energy-Aware Group LBS Using D2D Offloading and M2M-Based Mobile Proxy Handoff Mechanisms Over the Mobile Converged Networks

Cited by 9 publications

References 23 publications

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

Energy-Efficient Multicast Transmission for Underlay Device-to-Device Communications: A Social-Aware Perspective

K‐MING: A mobile proxy handoff control scheme for proximate group‐based geodata sharing

Proximate sharing of geo data using the credit‐considered mobile edge computing server switching control scheme

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