Virus Propagation in Wireless Sensor Networks with Media Access Control Mechanism

Jiang, Lurong; Xu, Qiaoyu; Pan, Hangyi; Dai, Yanyun; Tong, Jijun

doi:10.1155/2020/6513920

Cited by 8 publications

(7 citation statements)

References 36 publications

(35 reference statements)

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“…Noticeable statistical similarities between the number of mechanisms in ICT and virology systems, encouraged researchers to speculate that they may be analysed by using the same mathematical frameworks. Herein we show how an accurate analysis of a specific communication system performance, can be similarly applied to analyze the performance of a virus outbreaks management, and vice versa, as also stated in [7], [8]. In this way, it is possible to highlight which decision/management policies can efficiently handle corona virus threats and consequently aid the society to cope with Covid-19 pandemic challenges, and specifically to keep the mortality rate (MR) as low as possible.…”

Section: Introductionmentioning

confidence: 92%

Single- and Multi-Carrier Systems Affected by Impulsive Noise: Covid-19 View

2022

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In this work we present a fully stochastic model of performance analysis of single-and multi-carrier modulations (SCM and MCM) in communication systems affected by impulsive noise. The key performance parameter of the model is the symbol error rate (SER), which is fully determined as a function of the system parameters, including the frame length, symbol power, white noise power, impulsive noise power, and the probability of the impulse events. We derive closed-form analytical expressions for the systems and compare them with simulation results, showing very good agreement for all the impulsive noise scenarios. Specifically, we show under which conditions a MCM system performs better than a SCM system, and vice versa, which can be used to apply an optimal control policy that minimizes SER. The developed model for SCM and MCM systems is conceptually applied to the Covid-19 phenomenology, and consequently the results obtained for SCM and MCM scenarios, are interpreted as decision and management of social distancing (lock/roam) policies. Specifically, we also show under which conditions the "roam" strategy performs better than the "lock" strategy, and vice versa, which can be used to develop an optimal control policy that minimizes the mortality rate (MR). However, the proposed analytical model for the Covid-19 scenario, obtained assuming the similarity with the SCM/MCM systems, could not be tested in full due to the lack of relevant data. Therefore, any management decision cannot be based (only) on the presented model adapted to Covid-19, and necessarily requests the integration of experts opinions.INDEX TERMS single-carrier and multi-carrier systems, impulsive noise, symbol error rate, Gaussian mixture models, Covid-19 conceptual model, decision/management policy

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Section: Introductionmentioning

confidence: 92%

Single- and Multi-Carrier Systems Affected by Impulsive Noise: Covid-19 View

2022

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“…ey introduced a low-energy state to the traditional SIR model and then described the virus propagation and mutation process in the rechargeable WSNs. In our former work [15], we proposed an SIR model considered with media access control (MAC) mechanism and found out that MAC with listen/sleep duty cycle can inhibit the scale of virus propagation. Shakya et al [16] used spatial correlation to improve the SIR model in WSNs and study the influence of basic reproduction number, spatial correlation, and node density on the speed of virus propagation.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, WSNs are composed of a free-networking mode, which causes topological randomness significantly. erefore, we have proposed a random network topology generation model based on the Waxman algorithm in our former work [15]. We deploy N nodes randomly in an area with a size of S × S and then link two arbitrary nodes with p e .…”

Section: Network Construction Modelmentioning

confidence: 99%

“…We verify the efficiency of DBC-AHP by comparing virus propagation processes with/without various control mechanisms. Referring to our previous work on the research of virus propagation process in WSNs [15], assuming N � 1000 nodes are randomly distributed in a 100 × 100 area, α � 0.87, r c � 7, the listening/sleeping duty ratio of link-layer is τ � 0.6, and the infection probability η � 0.6 in this network topology. In our former work, η � 0.6 is the threshold for full virus outbreak in our network structure model, which means the virus cannot infect the entire network when η < 0.6 and only can infect the whole network when η ≤ 0.6. e simulation was carried out in MATLAB with the graph theory framework MatlabBGL.…”

Section: Comparison Of Four Virus Control Mechanisms In Wsnsmentioning

confidence: 99%

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Control Mechanism of Virus Propagation in Wireless Sensor Networks Based on Analytic Hierarchy Process

Jiang

Pan

et al. 2022

Security and Communication Networks

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The research on virus propagation process and control method in wireless sensor networks (WSNs) is one of the essential challenges of network security. This paper proposes a virus control mechanism of degree, betweenness centrality, and k-core-based analytical hierarchy process (DBC-AHP) for WSNs. According to the topology of WSNs, the virus control mechanism uses the DBC-AHP to identify the crucial nodes of the network. It uses the way of crucial nodes’ self-disconnection to suppress the spread of the virus, to improve the network security. In this paper, the effectiveness of the virus control mechanism based on the DBC-AHP is verified by comparing and analyzing the effect of four different crucial node recognition algorithms. With the research of virus control mechanisms in various network environments, it is found that the average degree of nodes, the communication radius of nodes, and the probability of virus infection can affect the inhibition effect of the virus control mechanism. Furthermore, the inhibition effect of virus control mechanisms is studied under the condition with/without MAC mechanism.

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“…而事实上, 由于空间网络中的节点与节点之间的连接受到实际位置的约束, 与一般的复杂网络在拓扑结构和鲁棒性 [21] 等方面具有一定的差异性. 在实际生活中, 如航空网络 [22] 、交通网络 [23] 、无线传感器网络 [24] 、无人机网络 [25] 等都受到空间位置的限制.…”

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Routing in spatial networks based on shortest path length

林泓¹,

夏永祥²,

蒋路茸³

2022

Acta Phys. Sin.

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In many complex networks, such as communication networks, power grids, and transportation networks, the main task is load transmission from sources to destinations. Therefore, the transmission throughput is a very important indicator to measure the network performance, and improving the throughput becomes one of the hotspots in the research of these complex networks. Many researchers have proposed different routing algorithms to improve the network throughput. However, few of them consider the spatial location of nodes in the network. Indeed, many real-world networks can be modeled by spatial networks, where the spatial location of nodes plays a vital role to determine the structure and dynamics of such networks. Specifically, when the location of nodes is considered, each link has a length. And the shortest path may have different meanings. Traditionally, the shortest path indicates the path which passes the least number of links from source to destination, or the least number of hops. However, when the length of links is taken into account, the least number of links does not mean the least summation of link lengths along the path. The latter can be called the shortest path length. To this end, this paper proposes an efficient routing strategy for spatial networks based on the shortest path length. In order to test the effectiveness of the algorithm, this paper uses the network throughput R_c, at which the network changes from a free flow state to a congestion state, to measure the performance of the network. Simulations on homogeneous and heterogeneous spatial networks show that the routing algorithm based on the shortest path length proposed in this paper can effectively improve the throughput of the network, compared with the traditional least number of hops routing strategy. The result of this paper may find application in many real-world spatial networks to improve the network performance.

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Virus Propagation in Wireless Sensor Networks with Media Access Control Mechanism

Cited by 8 publications

References 36 publications

Single- and Multi-Carrier Systems Affected by Impulsive Noise: Covid-19 View

Single- and Multi-Carrier Systems Affected by Impulsive Noise: Covid-19 View

Control Mechanism of Virus Propagation in Wireless Sensor Networks Based on Analytic Hierarchy Process

Routing in spatial networks based on shortest path length

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