A small world model for improving robustness of heterogeneous networks

Luo, Diansong; Qiu, Tie; Deonauth, Nakema; Zhao, Aoyang

doi:10.1109/globalsip.2015.7418317

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…In an underground resourceconstrained environment where there are various challenges, such as dynamic topology, energy constraint, and sparsity of nodes, robustness is critical. In [172], the authors proposed a small world model to improve the robustness and latency of heterogeneous IoT network where the local importance of the smart object was taken into account. Robustness for terrestrial IoT networks is well-studied from different perspectives.…”

Section: G Robustnessmentioning

confidence: 99%

Toward the Internet of Underground Things: A Systematic Survey

Saeed

Alouini

Al-Naffouri

2019

IEEE Commun. Surv. Tutorials

101

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This paper provides recent advances in the area of Internet of Underground Things (IoUT) with emphasis on enabling communication technologies, networking issues, and localization techniques. IoUT is enabled by underground things (sensors), communication technology, and networking protocols. This new paradigm of IoUT facilitates the integration of sensing and communication in the underground environment for various industries, such as oil and gas, agriculture, seismic mapping, and border monitoring. These applications require to gather relevant information from the deployed underground things. However, the harsh underground propagation environment including sand, rock, and watersheds do not allow the use of single communication technology for information transfer between the surface and the underground things. Therefore, various wireless and wired communication technologies are used for underground communication. The wireless technologies are based on acoustic waves, electromagnetic waves, magnetic induction and visible light communication while the wired technologies use coaxial cable and optical fibers. In this paper, state-of-art communication technologies are surveyed, and the respective networking and localization techniques for IoUT are presented. Moreover, the advances and applications of IoUT are also reported. Also, new research challenges for the design and implementation of IoUT are identified.

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Section: G Robustnessmentioning

confidence: 99%

Toward the Internet of Underground Things: A Systematic Survey

Saeed

Alouini

Al-Naffouri

2019

IEEE Commun. Surv. Tutorials

101

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“…Social characteristics have also become an important indicator for mobile communication network. Geographic location has a significant impact on their social relations in online social networks [22,23]. However, existing social models have not captured small world phenomenon that arbitrary nodes are likely connected through shorter friends chain.…”

Section: Related Workmentioning

confidence: 99%

Capacity and Delay Analysis for Large Social-Aware Mobile Ad Hoc Wireless Networks

2020

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Most mobile ad hoc wireless networks have social features. It is a fundamental problem how to understand the performances of social-aware mobile ad hoc wireless networks. In this paper, we consider a wireless network area, with restricted mobility model and rank-based social model. On this basis, we investigate the upper bound of throughput capacity in such networks using the protocol interference model. By tessellating the network area into cells spatially and dividing time into slots temporally, we propose a multi-hop relay and slots allocation scheduling strategy. Then, we derive the achieved throughput capacity under this strategy. Results show per-node throughput is related to parameter of social model and range of node motion. In addition, we also study the delay varies by queueing theory in such network. Finally, we discuss capacity-delay tradeoffs in such networks. These results are beneficial to the design of network protocols in large social-aware mobile ad hoc wireless networks.

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“…The performance of the proposed model was compared to the BA and NLL models and was shown to achieve increased network lifetime and reduced average path length. Authors in [28] proposed a new shortcut strategy based on local importance of nodes. The proposed method was evaluated in a sensor network with regular sensor nodes and super sensor nodes and was shown to have small-world features.…”

Section: Related Workmentioning

confidence: 99%

Small-World and Scale-Free Network Models for IoT Systems

Sohn

2017

Mobile Information Systems

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It is expected that Internet of Things (IoT) revolution will enable new solutions and business for consumers and entrepreneurs by connecting billions of physical world devices with varying capabilities. However, for successful realization of IoT, challenges such as heterogeneous connectivity, ubiquitous coverage, reduced network and device complexity, enhanced power savings, and enhanced resource management have to be solved. All these challenges are heavily impacted by the IoT network topology supported by massive number of connected devices. Small-world networks and scale-free networks are important complex network models with massive number of nodes and have been actively used to study the network topology of brain networks, social networks, and wireless networks. These models, also, have been applied to IoT networks to enhance synchronization, error tolerance, and more. However, due to interdisciplinary nature of the network science, with heavy emphasis on graph theory, it is not easy to study the various tools provided by complex network models. Therefore, in this paper, we attempt to introduce basic concepts of graph theory, including small-world networks and scale-free networks, and provide system models that can be easily implemented to be used as a powerful tool in solving various research problems related to IoT.

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A small world model for improving robustness of heterogeneous networks

Cited by 11 publications

References 11 publications

Toward the Internet of Underground Things: A Systematic Survey

Toward the Internet of Underground Things: A Systematic Survey

Capacity and Delay Analysis for Large Social-Aware Mobile Ad Hoc Wireless Networks

Small-World and Scale-Free Network Models for IoT Systems

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