<i>k</i>-Terminal Reliability of Ad Hoc Networks Considering the Impacts of Node Failures and Interference

Xiang, Shihu; Yang, Jun

doi:10.1109/tr.2019.2909929

Cited by 21 publications

(16 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The last line of Equation ( 16) comes into existence because 𝐻 𝑖𝑗 and 𝐻 𝑗𝑖 follow the same distribution. Referring to Xiang et al, 29 the channel capacity demand follows the normal distribution 𝑁(𝜇, 𝜎 2 ) independently and identically. Therefore, Equation ( 16) can be expressed as…”

Section: The Snr-capacity Connection Modelmentioning

confidence: 99%

“…In real wireless network systems, due to signal interference, the establishment and interruption of each link often show a strong correlation 26 . Therefore, to analyze the influence of signal randomness, the SNR connection model has been adopted by many researchers due to its ability to capture the impacts of background noise and signal attenuation 27–30 . Xiang et al 29 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Wang,

He,

Xiang

et al. 2023

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

Due to the characteristics of self‐organization, flexibility, and low cost, Mobile ad hoc networks (MANETs) have been applied in many fields, such as disaster rescues and military actions. However, in reality, the successful route establishment based on routing protocols is the prerequisite of data transmission. Besides, the transmission reliability of MANETs is affected by resource constraints, such as channel capacity and energy, and environmental factors. Hence, how accurately modeling and evaluating the transmission reliability of MANETs is very important to ensure their application. Whereas, existing studies ignore the impact of routing protocols and do not fully consider the influence of some factors on transmission reliability, such as environmental randomness, channel capacity, and energy consumption. To solve the above problems, we first propose a signal‐to‐noise‐ratio‐Capacity connection model to better describe the characteristics of wireless links, and the probability of one hop connection is deduced considering the capacity demand randomness. Then, considering the influence of routing protocol on the MANET link establishment, we take the ad hoc on‐demand distance vector routing protocol as an example, and propose an evaluation algorithm of the MANET transmission reliability based on algebraic graph theory and Monte Carlo simulation. Finally, the effectiveness of the proposed method is demonstrated by a numerical example of an unmanned aerial vehicle search and rescue scene.

show abstract

Section: The Snr-capacity Connection Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Wang,

He,

Xiang

et al. 2023

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…As mentioned in the related work, each metric taken alone in assessing reliability could be misleading; consequently, we follow the approach proposed in our previous work [9], which uses a metric (4) that jointly considers worst-case and average scenarios. R is the geometric mean of R max and R, which means that R ≤ R ≤ R max , and by minimizing R we put pressure to minimize both R max and R. R = RR max (4) We developed a simple case study to illustrate the use of (4) when assessing network reliability. Figure 1 depicts a small ring topology network composed of six nodes, where each node is implemented using one out of the four appliances listed in Table 1.…”

Section: B Network Reliability Assessmentmentioning

confidence: 99%

“…Therefore, the ability to face failures or intentional attacks while maintaining an acceptable level of service is mandatory nowadays in network design and management. Several works address protection through network reliability to maximize connectivity after failures [1], [2], [3], [4], [5], [6], [7], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration

Prieto¹,

Figueroa²,

Pezoa³

2022

IEEE Access

View full text Add to dashboard Cite

Network reliability has become an important concern to network administrators and service providers, and is prominently considered in network design. Particularly, 0-day vulnerabilities are an increasing threat to software-based networking systems. When shared between node appliances, they can be exploited simultaneously and compromise large portions of the network. Moreover, it has been observed that the number of 0-day vulnerabilities discovered yearly in node appliances tends to increase over time. Thus, we can expect that the reliability to 0-day exploits of a network implemented with these appliances will also worsen over time. In this work, we treat network reliability to 0-day exploits as a service, where the network provider agrees to deliver a reliability-based level of service over time. We propose a network reliability metric based on network connectivity and discovered appliance vulnerabilities. We formulate a strategy to guarantee a reliability value over time, based on heterogeneous networking and periodically running cost-effective partial node migrations. We use numerical evaluations to test our methodology on two software-defined wide-area networks based on known backbone IP topologies. Our significant findings are the following: First, when the network reliability becomes worse than the service guarantee, it can be restored in most cases by combining appliance reallocation and node migration. Second, our evaluations show a direct relationship between a network reliability value and the cost incurred to guarantee it. Third, we noted that, when using our appliance-to-node allocation strategy to guarantee the same reliability on different networks, their post-failure connectivity depends on the underlying network topology.

show abstract

“…This paper investigates the reliability enhancement of wireless sensor networks (WSN) under an uncertainty environment using the redundancy allocation problem (RAP) to devise and to optimize the redundancy allocation of components in parallel in the system, in order to attain superior system reliability [1][2][3][4]. Reliability plays an important role in assessing the performance of systems, especially the frequent use of high-tech systems, which are characteristically complex and expensive [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Therefore, many system engineers and scholars are devoted to designing and researching enhanced reliability in various systems, such as semiconductor industries [12], Internet of Things (IOT) [13], mechanical devices [14], electronic equipment [15], transportation systems [16], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

2020

View full text Add to dashboard Cite

This study aims to develop a novel credibility-based fuzzy model for the constraints of a series-parallel redundancy allocation problem (RAP) with a mix of components under an uncertainty environment and investigates the reliability enhancement of wireless sensor networks (WSN) through a RAP for objective system reliability by subjecting it to two nonlinear constraints, i.e., cost and weight constraints, under an uncertainty environment. In this work, fuzzy numbers have been adopted to overcome the problems related to the exact values of cost and weight of components used in system that are hard to obtain due to uncertainty in the real world. Next, the credibility theory is utilized to convert the fuzzy numbers to crisp numbers. In addition, the difficulty of the RAP encountered is the need to resiliently sustain the two nonlinear constraints, while also aiming to maximize system reliability by optimizing the redundancy allocation of components in parallel of each subsystem in the WSN. Hence, the model is solved by an improved simplified swarm optimization (ISSO). To prove the effectiveness of the ISSO in solving the researching model, experimental results are tested on random benchmarks. The experimental results show a significant efficiency and effectiveness of the proposed ISSO.

show abstract

k-Terminal Reliability of Ad Hoc Networks Considering the Impacts of Node Failures and Interference

Cited by 21 publications

References 54 publications

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration

Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

Contact Info

Product

Resources

About