Self-Organized Connected Objects: Rethinking QoS Provisioning for IoT Services

@article{Elhammouti2017SelfOrganizedCO,
  title={Self-Organized Connected Objects: Rethinking QoS Provisioning for IoT Services},
  author={Hajar Elhammouti and Essaid Sabir and Mustapha Benjillali and Loubna Echabbi and Hamidou Tembine},
  journal={IEEE Communications Magazine},
  year={2017},
  volume={55},
  pages={41-47}
}
The proliferation of connected objects has revolutionized the traditional Internet, giving rise to the emerging Internet of Things (IoT). The IoT ecosystem is very large, and it includes smart interconnections among sensors and devices with applications in both the industrial world and customers' daily lives. As a unified standard for IoT is still under development, many challenges related to IoT must be discussed and addressed, especially those related to energy efficiency. This article… 

Figures from this paper

Age of Information as a QoS Metric in a Relay-Based IoT Mobility Solution

TLDR
The performance, quality and mobility challenges of IoT services are improved through an algorithm which uses Quality of Service (QoS), AoI, objects location and service relevance metrics in order to cluster the networked IoT objects, attach them to the most suitable smart gateway or relay device and improve the performance of their services.

Multimedia Internet of Things: A Comprehensive Survey

TLDR
The limitations of IoT for multimedia computing are explored and the relationship between the M-IoT and emerging technologies including event processing, feature extraction, cloud computing, Fog/Edge computing and Software-Defined-Networks (SDNs) is presented.

Security Improvement Mechanisms in Software-Defined Internet of Things

TLDR
IoT architecture,Security challenges in IoT, SDN architecture, security challenges in each layers of the SDN and software-defined IoT, and solutions to security problems in IoT through software- defined networking approach are discussed.

Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

TLDR
MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.

Self-Administered Information Sharing Framework Using Bioinspired Mechanisms

TLDR
Simulation results show that the introduction of the bioinspired algorithms can improve the efficiency of information sharing and reduce the energy consumption.

Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions

TLDR
A detailed overview of the existing and emerging solutions toward addressing RAN congestion problem, and potential advantages, challenges, and use cases for the applications of emerging machine learning (ML) techniques in ultra-dense cellular networks are identified.

Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project

TLDR
This paper describes the H2020 project “Secure and Safe Internet of Things” (SerIoT) which will optimize the information security in IoT platforms and networks in a holistic, cross-layered manner in order to offer a secure SerIioT platform that can be used to implement secure IoT Platform and networks anywhere and everywhere.

Manipulation With Domino Effect for Cache- and Buffer-Enabled Social IIoT: Preserving Stability in Tripartite Graphs

TLDR
It is proved that inconspicuous manipulation with domino effect can further improve the system performance and a proactive cache placement scheme for cost minimization and a ternary stable matching algorithm to let devices self-organize the content sharing are proposed.

SerIoT: An H2020 Research and Innovation Action to Assure the Security of the Internet of Things

TLDR
This paper describes the H2020 project “Secure and Safe Internet of Things” (SerIoT) which will optimize the information security in IoT platforms and networks in a holistic, cross-layered manner (i.e. IoT Platforms and devices, honeypots, SDN routers and operator’s controller) in order to offer a secure SerIioT platform.

Manipulation with Domino Effect for Cache-and Buffer-Enabled Social IIoT : Preserving Stability in Tripartite Graphs

  • Sun
  • Computer Science
  • 2019
TLDR
This paper designs a proactive cache placement scheme for cost minimization, conceive the content sharing procedure with the framework of tripartite graph and proposes a ternary stable matching algorithm to let devices self-organize the contentsharing.

References

SHOWING 1-10 OF 13 REFERENCES

Energy-efficient transmission with data sharing

TLDR
This paper formulate the problem as a bi-objective optimization problem to simultaneously minimize the transmission redundancy and the energy consumption, and provides an online algorithm with proven performance bound to approximate the optimal solution without relying on any assumed distribution or future information.

The greening of spectrum sensing: a minority game-based mechanism design

TLDR
This article model distributed spectrum sensing and channel allocation as a non-cooperative game, and applies the minority game to bring forth and study the cooperative behavior of users.

On Minimizing Base Station Power Consumption

TLDR
An expected lower limit for PRAIS is established of 27W to 68W depending on load per link for BSs installed in 2014, which provides a 61% to 34% gain over conventional resource allocation schemes.

Scenarios for 5G mobile and wireless communications: the vision of the METIS project

TLDR
This article describes the scenarios identified for the purpose of driving the 5G research direction and gives initial directions for the technology components that will allow the fulfillment of the requirements of the identified 5G scenarios.

Minimizing Base Station Power Consumption

TLDR
A new radio resource management algorithm which aims at minimizing the base station supply power consumption for multi-user MIMO-OFDM and optimizes the trade-off between three basic power-saving mechanisms: antenna adaptation, power control and discontinuous transmission.

An energy-efficient approach to power control and receiver design in wireless data networks

TLDR
The cross-layer design problem of joint multiuser detection and power control is studied, using a game-theoretic approach that focuses on energy efficiency and an admission-control scheme based on maximizing the total utility in the network is proposed.

A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems

TLDR
It is shown that the proposed approach results in significant improvements in the total utility achieved at equilibrium compared with a single-carrier system and also to a multicarrier system in which each user maximizes its utility over each carrier independently.

Stochastic learning solution for constrained Nash Equilibrium throughput in non saturated wireless collision channels

TLDR
It is shown that the region of NE coincides with an appropriate 'stability region' and it is proved that the proposed stochastic learning algorithm converges to a Nash equilibrium even in the absence of any coordination or extra information.

Simulating dense small cell networks

TLDR
The main features of DSN simulators are identified, and the reader is guided in the selection of an appropriate simulator for their desired investigations.

Mean value methods in iteration

Due largely to the works of Cesaro, Fejer, and Toeplitz, mean value methods have become famous in the summation of divergent series. The purpose of this paper is to show that the same methods can