2,158 research outputs found
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Wireless sensor networks (WSNs) consist of autonomous and resource-limited
devices. The devices cooperate to monitor one or more physical phenomena within
an area of interest. WSNs operate as stochastic systems because of randomness
in the monitored environments. For long service time and low maintenance cost,
WSNs require adaptive and robust methods to address data exchange, topology
formulation, resource and power optimization, sensing coverage and object
detection, and security challenges. In these problems, sensor nodes are to make
optimized decisions from a set of accessible strategies to achieve design
goals. This survey reviews numerous applications of the Markov decision process
(MDP) framework, a powerful decision-making tool to develop adaptive algorithms
and protocols for WSNs. Furthermore, various solution methods are discussed and
compared to serve as a guide for using MDPs in WSNs
Software-Defined Network-Based Vehicular Networks: A Position Paper on Their Modeling and Implementation
There is a strong devotion in the automotive industry to be part of a wider
progression towards the Fifth Generation (5G) era. In-vehicle integration costs
between cellular and vehicle-to-vehicle networks using Dedicated Short Range
Communication could be avoided by adopting Cellular Vehicle-to-Everything
(C-V2X) technology with the possibility to re-use the existing mobile network
infrastructure. More and more, with the emergence of Software Defined Networks,
the flexibility and the programmability of the network have not only impacted
the design of new vehicular network architectures but also the implementation
of V2X services in future intelligent transportation systems. In this paper, we
define the concepts that help evaluate software-defined-based vehicular network
systems in the literature based on their modeling and implementation schemes.
We first overview the current studies available in the literature on C-V2X
technology in support of V2X applications. We then present the different
architectures and their underlying system models for LTE-V2X communications. We
later describe the key ideas of software-defined networks and their concepts
for V2X services. Lastly, we provide a comparative analysis of existing
SDN-based vehicular network system grouped according to their modeling and
simulation concepts. We provide a discussion and highlight vehicular ad-hoc
networks' challenges handled by SDN-based vehicular networks.Comment: 14 pages, 3 figures, Sensors 201
Location Management in IP-based Future LEO Satellite Networks: A Review
Future integrated terrestrial, aerial, and space networks will involve
thousands of Low Earth Orbit (LEO) satellites forming a network of
mega-constellations, which will play a significant role in providing
communication and Internet services everywhere, at any time, and for
everything. Due to its very large scale and highly dynamic nature, future LEO
satellite networks (SatNets) management is a very complicated and crucial
process, especially the mobility management aspect and its two components
location management and handover management. In this article, we present a
comprehensive and critical review of the state-of-the-art research in LEO
SatNets location management. First, we give an overview of the Internet
Engineering Task Force (IETF) mobility management standards (e.g., Mobile IPv6
and Proxy Mobile IPv6) and discuss their location management techniques
limitations in the environment of future LEO SatNets. We highlight future LEO
SatNets mobility characteristics and their challenging features and describe
two unprecedented future location management scenarios. A taxonomy of the
available location management solutions for LEO SatNets is presented, where the
solutions are classified into three approaches. The "Issues to consider"
section draws attention to critical points related to each of the reviewed
approaches that should be considered in future LEO SatNets location management.
To identify the gaps, the current state of LEO SatNets location management is
summarized. Noteworthy future research directions are recommended. This article
is providing a road map for researchers and industry to shape the future of LEO
SatNets location management.Comment: Submitted to the Proceedings of the IEE
Real-Time IoV Task Offloading through Dynamic Assignment of SDN Controllers: Algorithmic Approaches and Performance Evaluation
Task offloading in Internet of Vehicles (IoV) is very crucial. The widespread use of IoT applications frequently interacts with the cloud, thereby increasing the load on centralized cloud controllers. Centralized network management in cloud infrastructure is not feasible for the latest IoT trends. Decentralized and decoupled network management in Software Defined Networks (SDN) can enhance IoV services. SDN and IoV coupling can better handle task offloading in ubiquitous and dynamic IoV environments. However, appropriate SDN controller assignment and allotment strategies play a prominent role in IoV communication. In this study, we developed algorithms for SDN controller assignment and allotment namely 1) Next Fit Allotment and Assignment of SDN Controller in IoV (NFAAC), 2) Dynamic Bin Packing Allotment and Assignment of SDN Controller in IoV (DBPAAC), and 3) Dynamic Focused and Bidding Allotment and Assignment algorithm of SDN Controller in IoV (DFBAAC). These algorithms were simulated using open-flow switch controllers. The controllers were modeled as Road Side Units (RSU) that can allocate bandwidth and resource requirements to vehicles on the road. Our results show that our proposed algorithm works efficiently for SDN controller assignment and allocation, outperforming the existing work by a significant improvement of 13.5%. The working of the proposed algorithms are verified, tested, and analytically presented in this study
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