Secure and Fault-Tolerant Distributed Location Management for Intelligent 5G Wireless Networks

Munir, Kashif; Zahoor, Ehtesham; Rahim, Rafia; Lagrange, Xavier; Lee, Jong‐Hyouk

doi:10.1109/access.2018.2808333

Cited by 7 publications

(10 citation statements)

References 31 publications

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“…Location management is utilized by various technologies and is popular among many researchers [9,10]. Actually, location management has motivated scholars to investigate the signaling overhead problem.…”

Section: Related Workmentioning

confidence: 99%

“…One sub-problem may consider the cell-to-TAL/MME assignment which is allocated periodically to minimize the inter-list handover rate of UEs from one cell to another. This sub-problem mainly includes Equations ( 9), (10), (16) and (17). The second sub-problem could assume the set of TALs/MMEs given and, thereby, using the given data one can find the optimum usage ratio for each TAL/MME.…”

Section: E Overview Of Model Decomposition Using Minlpmentioning

confidence: 99%

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Location management in LTE networks using multi-objective particle swarm optimization

Hashim

Abido

2019

Computer Networks

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Long-term evolution (LTE) and LTE-advance (LTE-A) are widely used efficient network technologies serving billions of users, since they are featured with high spectrum efficiency, less latency, and higher bandwidth. Despite remarkable advantages offered by these technologies, signaling overhead remains a major issue in accessing the network. In particular, the load of signaling is mainly attributed to location management. This paper proposes an efficient approach for minimizing the total signaling overhead of location management in LTE networks using multi-objective particle swarm optimization (MOPSO). Tracking area update (TAU) and paging are considered to be the main elements of the signaling overhead of optimal location management in LTE. In addition, the total inter-list handover contributes significantly to the total signaling overhead. However, the total signaling cost of TAU and paging is adversely related to the total inter-list handover. Hence, two cost functions should be minimized where the first function is the total signaling cost of TAU and paging and the second cost function is the total signaling overhead. The trade-off between these two objectives can be circumvented by MOPSO, which alleviates the total signaling overhead. A set of non-dominated solutions on the Pareto-optimal front is defined and the best compromise solution is presented. The proposed algorithm results in a feasible compromise solution between the two objectives, minimizing the signaling overhead, and in turn, the consumption of the power battery of the user. The efficacy and the robustness of the proposed algorithm have been proven through a large scale environment problem illustrative example. The location management in LTE networks using MOPSO best compromise solution has been compared to the results obtained by a mixed integer non-linear programming (MINLP) algorithm.

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Section: Related Workmentioning

confidence: 99%

Section: E Overview Of Model Decomposition Using Minlpmentioning

confidence: 99%

Location management in LTE networks using multi-objective particle swarm optimization

Hashim

Abido

2019

Computer Networks

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“…Munir et al [75] presented a secure fault tolerance mechanism for 5G networks based on the concept of the distributed hash table of access nodes and ticket-reuse approach. The authors presented an analytical model for analyzing the processing time of a location query with the minimum authentication latency.…”

Section: Secure Mobility Management In 5gmentioning

confidence: 99%

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Choudhary

Sharma

2019

5G Enabled Secure Wireless Networks

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The 5G networks have the capability to provide high compatibility for the new applications, industries, and business models. These networks can tremendously improve the quality of life by enabling various use cases that require high data-rate, low latency, and continuous connectivity for applications pertaining to eHealth, automatic vehicles, smart cities, smart grid, and the Internet of Things (IoT). However, these applications need secure servicing as well as resource policing for effective network formations. There have been a lot of studies, which emphasized the security aspects of 5G networks while focusing only on the adaptability features of these networks. However, there is a gap in the literature which particularly needs to follow recent computing paradigms as alternative mechanisms for the enhancement of security. To cover this, a detailed description of the security for the 5G networks is presented in this article along with the discussions on the evolution of osmotic and catalytic computing based security modules. The taxonomy on the basis of security requirements is presented, which also includes the comparison of the existing state-of-the-art solutions. This article also provides a security model, "CATMOSIS", which idealizes the incorporation of security features on the basis of catalytic and osmotic computing in the 5G networks. Finally, various security challenges and open issues are discussed to emphasize the works to follow in this direction of research. and vulnerabilities have been evolving continuously with the networks because of an increase in the number of users where attackers try to exploit the potential weaknesses. To easily follow these issues and aspects, an overview of 5G applications, technologies, features and performance challenges and standardization are presented in Fig.1 and Fig.2. Current 5G networks are supported by different technology enablers, which include Fig 2. An illustration of 5G evolution, standardization and known security attacks. Applications of 5G networks:The major applications of the 5G networks are provided below:1. Autonomous Vehicle: The automatic controlled driving car and vehicles are key enablers of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and other Intelligent Transport Systems (ITS). The 5G network supports large bandwidth and low latency for these applications with high connection reliability. This network supports collision avoidance and intelligent navigation for the reliable transportation systems [6] [7]. Public Safety Communications (PSCs):The PSCs facilitated various communication services in case of emergencies when the primary communication infrastructure is not available. The PSCs incorporated rapid deployment and accessibility of communication set-up. Therefore, 5G enabled communications supports a wide range of applications and long-term connectivity for the services in case of emergencies [12]. 3. Military Applications: The Military involved mission-critical control application which requires high data rate and long-term c...

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“…Location management is an important part of mobile communication networks, while TA planning provides an important guarantee for location management [12,13]. At present, the tracking area planning has two schemes: static and dynamic.…”

Section: Related Workmentioning

confidence: 99%

Tracking areas planning based on spectral clustering in small cell networks

Lin

Waqas

et al. 2019

IET Communications

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Secure and Fault-Tolerant Distributed Location Management for Intelligent 5G Wireless Networks

Cited by 7 publications

References 31 publications

Location management in LTE networks using multi-objective particle swarm optimization

Location management in LTE networks using multi-objective particle swarm optimization

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

Tracking areas planning based on spectral clustering in small cell networks

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