Liudong Xing

ORCID: 0000-0003-1606-1644
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About
Contact & Profiles
Research Areas
  • Reliability and Maintenance Optimization
  • Software Reliability and Analysis Research
  • Risk and Safety Analysis
  • Advanced Battery Technologies Research
  • Energy Efficient Wireless Sensor Networks
  • Advanced Queuing Theory Analysis
  • Cloud Computing and Resource Management
  • Probabilistic and Robust Engineering Design
  • Formal Methods in Verification
  • Cloud Data Security Solutions
  • IoT and Edge/Fog Computing
  • Radiation Effects in Electronics
  • Energy Harvesting in Wireless Networks
  • Distributed systems and fault tolerance
  • Statistical Distribution Estimation and Applications
  • Software System Performance and Reliability
  • Blockchain Technology Applications and Security
  • Fault Detection and Control Systems
  • Safety Systems Engineering in Autonomy
  • Life Cycle Costing Analysis
  • Security in Wireless Sensor Networks
  • Network Security and Intrusion Detection
  • Security and Verification in Computing
  • Smart Grid Security and Resilience
  • Mobile Ad Hoc Networks

University of Massachusetts Dartmouth
2015-2024

Graphic Era University
2022-2024

Boston University
2024

University of Massachusetts Amherst
2007-2022

University of Electronic Science and Technology of China
2010-2019

University of North Carolina at Charlotte
2018

Israel Electric (Israel)
2016

Stanford University
2011-2014

Stanford Medicine
2009

Applied Materials (United States)
2008

The Internet of Things (IoT) aims to transform the human society toward becoming intelligent, convenient, and efficient with potentially enormous economic environmental benefits. Reliability is one main challenges that must be addressed enable this revolutionized transformation. Based on layered IoT architecture, article first identifies reliability posed by specific enabling technologies each layer. This then presents a systematic synthesis review reliability-related literature. models...

10.1109/jiot.2020.2993216 article EN publisher-specific-oa IEEE Internet of Things Journal 2020-05-07

This paper proposes a generalized phased-mission system (GPMS) analysis methodology called GPMS-CPR that has high computation efficiency and is easy to implement. can evaluate wider range of more practical systems with less restrictive mission requirements, while offering human-friendly performance indices such as multilevel grading compared the previous PMS approaches. also accounts for imperfect coverage. method implements an exciting synthesis several approaches into single methodology....

10.1109/tr.2002.1011526 article EN IEEE Transactions on Reliability 2002-06-01

Multistate systems can model many practical in a wide range of real applications. A distinct characteristic these is that the and their components may assume more than two levels performance (or states), varying from perfect operation to complete failure. The nonbinary property multistate makes analysis difficult. This paper proposes new decision-diagram-based method, called multivalued decision diagrams (MMDD), for with components. Examples show how MMDD models are generated evaluated...

10.1109/tdsc.2007.70244 article EN IEEE Transactions on Dependable and Secure Computing 2008-08-04

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper proposes efficient methods to assess the reliability of phased-mission systems (PMS) considering both imperfect fault coverage (IPC), and common-cause failures (CCF). The IPC introduces multimode that must be considered in accurate analysis PMS. Another difficulty is allow for multiple CCF can affect different subsets system components, which occur <formula...

10.1109/tr.2006.890900 article EN IEEE Transactions on Reliability 2007-03-01

Many real-world systems, particularly those with limited power resources, are designed cold-standby redundancy for achieving fault tolerance and high reliability. Cold-standby units unpowered and, thus, do not consume any until needed to replace a faulty online component. creates sequential dependence between the component standby components; in particular, can start work then fail only after has failed. Traditional approaches handling typically state-space-based or simulation-based...

10.1109/tsmca.2011.2170415 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2011-10-25

In the Internet of Things (IoT), various devices operate collaboratively in collecting data, relaying information to one another, and processing intelligently. Due interactions dependencies between IoT devices, malfunction device may trigger a cascade unexpected often undesired state changes other introducing or accelerating catastrophic cascading failures. Understanding causes failures modeling their behavior effects is crucial for guaranteeing reliability systems delivering desired quality...

10.1109/jiot.2020.3018687 article EN IEEE Internet of Things Journal 2020-08-24

Many practical systems are phased-mission (PMSs), where the mission consists of multiple, consecutive, and non-overlapping phases operation. An accurate reliability analysis a PMS must consider statistical dependence component states across phases, as well dynamics in system configurations, success criteria, behavior. This paper proposes new method based on multiple-valued decision diagrams (MDDs) for non-repairable binary-state PMS. Due to its multi-valued logic nature, MDD model has...

10.1109/tr.2014.2299497 article EN IEEE Transactions on Reliability 2014-01-31

Many real-world critical systems, such as aircraft and human space flight utilize mission aborts to enhance the survivability of system. Specifically, objectives these systems can be aborted in cases where a certain malfunction condition is met, rescue or recovery procedure then initiated for system survival. Traditional reliability models typically cannot address effects aborts, thus are not applicable analyzing subject abort requirements. In this paper, we first develop numerical...

10.1109/tr.2017.2740330 article EN IEEE Transactions on Reliability 2017-09-08

Many practical systems have multiple consecutive and non-overlapping phases of operations during their mission are generally referred to as phased-mission (PMSs). This article considers a general type PMS consisting subsystems connected in series, where each subsystem contains components with different capacities. The within the same divided into several disjoint work-sharing groups (WSGs). capacity WSG is equal summation capacities its working components, maximum capacity. system...

10.1080/0740817x.2016.1146424 article EN IIE Transactions 2016-02-06

Due to rapid advancements on the Internet of Things (IoT), unmanned aerial vehicles (UAVs), also known as drones, are transforming numerous military and civil application areas. UAVs aim enhance production efficiency, ensure safety, reduce risk, particularly protecting human workforce in case harsh dangerous environments. mission-critical, business-critical, or safety-critical nature UAV applications, it is pivotal that perform reliably deliver required service during intended mission time....

10.1109/jiot.2022.3218491 article EN publisher-specific-oa IEEE Internet of Things Journal 2022-11-04

10.1016/j.ress.2024.109951 article EN Reliability Engineering & System Safety 2024-01-21

Reliability and sensitivity analysis is a key component in the design, tuning, maintenance of network systems. Tremendous research efforts have been expended this area, but two practical issues, namely, imperfect coverage (IPC) common-cause failures (CCF), generally missed or not fully considered existing methods. In paper, an efficient approach for incorporating both IPC CCF into reliability proposed. The challenges are to allow multiple failure modes introduced by cope with dependent...

10.1109/tsmca.2007.909493 article EN IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2007-12-20

Decision diagrams are graphical structures based on Shannon's decomposition. They have been extensively used for representing and manipulating logic functions in areas such as circuit verification, compact Markov chain representation, symbolic model checking. However, their applicability reliability modeling analysis has only recently studied. Moreover, the study had mostly restricted to binary-state systems which both system its components either operational, or failed. Nevertheless, many...

10.1109/tr.2009.2034946 article EN IEEE Transactions on Reliability 2009-12-11

10.1016/j.ress.2014.09.006 article EN Reliability Engineering & System Safety 2014-09-16
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