A Social-Aware Group Formation Framework for Information Diffusion in Narrowband Internet of Things

Ning, Zhaolong; Wang, Xiaojie; Kong, Xiangjie; Hou, Weigang

doi:10.1109/jiot.2017.2777480

Cited by 107 publications

(41 citation statements)

References 37 publications

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“…Sensor networks are being applied to all aspects of society, such as social networks [41,42,43,44], mobile networks [45], or forming the main body of the Internet of Things (IoT) [46,47,48,49], profoundly changing our ways of social interaction [42,47,48]. Energy is the most precious resource in wireless sensor networks [50,51].…”

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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“…The network radius is R, and the transmission radius of a node is r. Considering node v i whose distance from the network center is l, l = zr + x, transmits the data packet to nodes v k , whose distance from the network center is k. μ l→k 16 Complexity and is referring to the number of hops from node v i to node v k . According to [26], the transmission delay σ l→k of data packet is as follows:…”

Section: Analysis Of Transmission Delaymentioning

confidence: 99%

“…Wireless sensor networks (WSNs) are important components for IoT, in which each node senses information from surrounding environment and where each node in the network helps in routing by forwarding data to other nodes [21][22][23][24][25][26][27]. To reduce the complexity of processing big data in the network, big data codes need to be reprogrammed.…”

Section: Introductionmentioning

confidence: 99%

Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

et al. 2018

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The diffusion of codes is an important processing technology for big data networks. In previous scheme, data analysis was conducted for small samples of big data and complex problems that cannot be processed by big data technology. Due to the limited capacity of intelligence device, a better method is to select a set of nodes (intelligence device) to form a connected dominating set (CDS) to save energy, and constructing CDS is proved to be a complete NP problem. However, it is a challenge to reduce the communication delay and complexity for urgent data transmission in big data. In this paper, an appropriate duty cycle control (ADCC) scheme is proposed to reduce communication delay and complexity while improving energy efficient in CDS-based WSNs. In ADCC scheme, the method for constructing CDS is proposed at lower complexity. Nodes in CDS are selected according to the degree of nodes. Then, duty cycle of dominator nodes in CDS is higher than that of dominated nodes, so the communication delay in the proposed scheme is far less than that of previous scheme. The duty cycle of dominated nodes is small to save energy. This is because the number of dominator nodes in CDS is far less than the number of dominated nodes whose duty cycle is small; thus, the total energy consumption of the network is less than that of the previous scheme. As a result, the performance of energy consumption and communication delay and complex have been improved. Its complexity O ∑ v i=0 m − i + 2m − 2v − s is reduced a lot for big data. The theoretical analysis shows that compared to the previous scheme, the transmission delay can be reduced 25-92% and the energy efficiency is improved by about 80% while retaining network lifetime.

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“…Another major advantage of using cloudlets is that they are energy saving. The cloudlets are fixed, and the clients are mobile in the literature, Scavenger, and CirrusCloud…”

Section: Related Workmentioning

confidence: 99%

EMCloud: A hierarchical volunteer cloud with explicit mobile devices

Malhotra

Dhurandher

Gupta³

et al. 2018

Int J Communication

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Summary Today, the world is witnessing an exponential growth in the computational capabilities and storage capabilities of mobile devices. This has inspired application developers to create new and interesting applications for mobile devices. The applications have varied resource requirements and mobile devices are heterogeneous in their configurations. The idea of this research is to design a model for resource sharing among mobile devices so that any type of application can be run on a mobile device with the help of other such devices in close geographical proximity. A novel architecture for managing a group of volunteer nodes with unused or underused resources is designed and algorithms that are required for its operation are developed. The purpose of this research is to shift the focus towards futuristic computing paradigm where seamless resource sharing in the network would be feasible with explicitly all mobile nodes and without any dependency on fixed infrastructures. An extensive evaluation of the proposed Explicit Mobile Cloud (EMCloud) has been undertaken for mobile nodes in the network. It includes experience with a prototype that demonstrates EMCloud's performance. Simulation results demonstrate that the proposed scheme outperforms the state‐of‐the‐art Serendipity, OpenNebula, and Eucalyptus prototypes in terms of success rate and average delay for different network density, mobility, network load, and extent of hierarchy.

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A Social-Aware Group Formation Framework for Information Diffusion in Narrowband Internet of Things

Cited by 107 publications

References 37 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

Construction Low Complexity and Low Delay CDS for Big Data Code Dissemination

EMCloud: A hierarchical volunteer cloud with explicit mobile devices

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