Construction of Large-Scale Low-Cost Delivery Infrastructure Using Vehicular Networks

Liu, Xiao; Liu, Yuxin; Xiong, Naixue; Zhang, Ning; Shen, Hailan; Huang, Changqin

doi:10.1109/access.2018.2825250

Cited by 47 publications

(49 citation statements)

References 49 publications

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“…Since the wireless network has the function of broadcasting, multiple recipients can receive data packets after one broadcast. Therefore, the use of broadcasting can substantially reduce the number of transmissions to nodes, thereby reducing the energy consumption of the network [25,53]. Researchers have summarized this problem as the issue of Minimum-transmission broadcast (MTB) [25].…”

Section: Related Workmentioning

confidence: 99%

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Liu

et al. 2018

Sensors

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Due to the Software Defined Network (SDN) technology, Wireless Sensor Networks (WSNs) are getting wider application prospects for sensor nodes that can get new functions after updating program codes. The issue of disseminating program codes to every node in the network with minimum delay and energy consumption have been formulated and investigated in the literature. The minimum-transmission broadcast (MTB) problem, which aims to reduce broadcast redundancy, has been well studied in WSNs where the broadcast radius is assumed to be fixed in the whole network. In this paper, an Adaption Broadcast Radius-based Code Dissemination (ABRCD) scheme is proposed to reduce delay and improve energy efficiency in duty cycle-based WSNs. In the ABCRD scheme, a larger broadcast radius is set in areas with more energy left, generating more optimized performance than previous schemes. Thus: (1) with a larger broadcast radius, program codes can reach the edge of network from the source in fewer hops, decreasing the number of broadcasts and at the same time, delay. (2) As the ABRCD scheme adopts a larger broadcast radius for some nodes, program codes can be transmitted to more nodes in one broadcast transmission, diminishing the number of broadcasts. (3) The larger radius in the ABRCD scheme causes more energy consumption of some transmitting nodes, but radius enlarging is only conducted in areas with an energy surplus, and energy consumption in the hot-spots can be reduced instead due to some nodes transmitting data directly to sink without forwarding by nodes in the original hot-spot, thus energy consumption can almost reach a balance and network lifetime can be prolonged. The proposed ABRCD scheme first assigns a broadcast radius, which doesn’t affect the network lifetime, to nodes having different distance to the code source, then provides an algorithm to construct a broadcast backbone. In the end, a comprehensive performance analysis and simulation result shows that the proposed ABRCD scheme shows better performance in different broadcast situations. Compared to previous schemes, the transmission delay is reduced by 41.11~78.42%, the number of broadcasts is reduced by 36.18~94.27% and the energy utilization ratio is improved up to 583.42%, while the network lifetime can be prolonged up to 274.99%.

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Section: Related Workmentioning

confidence: 99%

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

Liu

et al. 2018

Sensors

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“…In the past several years, we have witnessed a dramatic advancement in network-enabled sensors/actuators, which have been closely related to our lives, including medical monitoring [1][2][3], smart-home [1][2][3][4][5], smartgrid, smart vehicles [6][7][8][9], intelligent transportation systems, and smart cities [10][11][12][13]. This profound change is mainly due to the rapid development of the manufacturing process of intelligent electronic devices, which has led to an exponential increase in the number of these network-enabled sensor devices.…”

Section: Introductionmentioning

confidence: 99%

“…This profound change is mainly due to the rapid development of the manufacturing process of intelligent electronic devices, which has led to an exponential increase in the number of these network-enabled sensor devices. It is estimated that almost 50 billion devices will be interconnected by 2020 [8,14]. At the same time, these sensor devices are powerful and able to sense the information regarding people or things, such as location, environment, and behaviors, thus providing a foundation for wireless sensor networks (WSN).…”

Section: Introductionmentioning

confidence: 99%

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Tan

Liu

Xie

et al. 2019

J Wireless Com Network

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Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing a foundation for Internet of Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is of significance yet very challenging. To deal with this challenge, a low redundancy data collection (LRDC) scheme is proposed to reduce delay as well as energy consumption for monitoring network by using matrix completion technique. Due to the correlation of the location-dependent sensing data, some data without being collected can still be recovered by the matrix completion technology, thereby reducing the data amount for data collection and transmission, reducing the network energy consumption, and accelerating the process of data acquisition. Based on matrix completion technique, LRDC scheme can select only part of the nodes to sense data and transmit less data to CC. By doing so, the data collected by the network can be greatly reduced, which can effectively improve the network lifetime. In addition, LRDC scheme also proposes a method for quickly compensate sample data in cases of packet loss, whereby part of redundant data is sent in advance to the area closer to CC. If the data required for matrix completion is lost, these redundant data can be quickly obtained by CC, so the LRDC scheme has low delay characteristics. Simulation results demonstrate that LRDC scheme can achieve better performance than the traditional strategy, and it can reduce the maximum energy consumption of the network by 27.6-57.9% and reduce the delay by 0.7-17.9%.

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“…Furthermore, Cisco has predicted that there are 50 billions of small IoT devices by 2020, while Huawei even predicts that the figure will reach 100 billions by 2025 [8]. Such explosive growth for wireless access demand has been pushing academia and industry to explore new cellular architectures and paradigms [9][10][11] to improve network throughput on the basis of the limited frequency resources.…”

Section: Introductionmentioning

confidence: 99%

Cellular throughput optimization by game-based power adjustment and outband D2D communication

Gui

Zhou

2018

J Wireless Com Network

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Device-to-device (D2D) communication is a promising option for the fifth generation (5G) mobile communication network to reduce energy consumption and increase throughput, which makes high throughput applications possible. Also, the improvement for energy and spectrum efficiency is critical in such applications. Without occupation of cellular spectrum resources, outband D2D communication is increasingly applied to high throughput applications to increase spectrum supply. However, energy efficiency is still a key issue that needs to be addressed. Moreover, the overall energy efficiency in cellular networks is severely limited by cell-edge devices. Therefore, in this paper, we apply multi-hop relay-aided outband D2D communication to cellular networks and propose a game-based power adjustment method to address throughput optimization problem. Firstly, we model an interaction relationship of power adjustment for each transmission path as a potential game, where a new utility function is designed for each player (i.e., the receiving end of a transmission path) to evaluate its action gain and to determine whether taking action or not. And then, it is proved that the utility function is an ordinal potential function (OPF) and the game of power adjustment is an ordinal potential game (OPG), which guarantees the convergence of game decision process. Moreover, we propose a new game decision algorithm, which has quicker convergence speed than the existing typical algorithm. In addition, we design a networkassisted distributed processing architecture for solving throughput optimization problem, including receiving mode selection, verification for relay selection, and transmission power adjustment, which can ease the burden of centralized processing. The experimental results show that our scheme is superior to the existing typical work in terms of throughput, delay, energy efficiency, continuous service ability, and convergence performance.

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Construction of Large-Scale Low-Cost Delivery Infrastructure Using Vehicular Networks

Cited by 47 publications

References 49 publications

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

An Adaption Broadcast Radius-Based Code Dissemination Scheme for Low Energy Wireless Sensor Networks

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Cellular throughput optimization by game-based power adjustment and outband D2D communication

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