Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Things

Sahni, Yuvraj; Cao, Jiannong; Zhang, Shigeng; Yang, Lei

doi:10.1109/access.2017.2739804

Cited by 181 publications

(108 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A crisp analysis of some of the renowned methods are analyzed here to compare the performance with the proposed method. The existing methods taken for analysis are Aggregated-Proof based Hierarchical Authentication Scheme for the Internet-of-Things (APHA) [8], Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Thing (DIIOT) [9], Graph Theory Applications in Network Security (GTANS) [10], Secure and Efficient Protocol for Route Optimization in PMIPv6based Smart Home IoT Network (SEPRP-SHIOT) [11], An Ultra-lightweight Authentication Scheme for Heterogeneous Wireless Sensor Networks in the Context of Internet-of-Things (ULASHWSN) [12] and A New Security Authentication Method in the Internet of Things based on PID and Design Impedance Mismatch Physical Unclonable Functions for IoT security (SAMPID) [13].…”

Section: Existing Methodsmentioning

confidence: 99%

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Anandhavalli*¹,

Bhuvaneswari²

2019

IJITEE

View full text Add to dashboard Cite

Nowadays Wireless Sensor Networks are using Internet-of-Thing (IoT) technology-based nodes because of the wide usance and cost effectiveness. Many of the Wireless sensor nodes are battery powered devices with limited computational and communication resources. The algorithm of the conventional wireless sensor networks are designed for small closed group network communications with better power management and reasonable security strategies. When using IoT based Wireless sensor networks, the nodes are used to communicate with the internet, where there is a need for more secured algorithm. The internet protocols are having powerful security authentication systems those require more computational resources, thus they can drain a battery operated little wireless sensor node. This work is indented to introduce a legacy power-security balanced algorithm to use in the IoT based Wireless Sensor Network environments. Proxy Mobile Internet Protocol version 6 (PMIPv6) is selected as the base protocol in which the proposed security authentication mechanism is used instead of inbuilt Diffie-Hellman authentication scheme. A customized Media Access Control (MAC) address-based session key initialization procedure along with seed based random number session key update mechanism is proposed and verified in this work.

show abstract

Section: Existing Methodsmentioning

confidence: 99%

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Anandhavalli*¹,

Bhuvaneswari²

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…technologies can operate concurrently with less information exchange among different network layers and nodes [6]. Moreover, instead of offloading all tasks to the edge-servers, Device-to-Device (D2D) technology can reduce the burdens on the servers by enabling mobile users to benefit from the available computing resources in nearby devices in a cooperative manner [7]. Also, the existence of SBSs in the vicinity of mobile users provides accurate spatio-temporal information about popular contents, and hence more accurate content caching and better usage of the limited storage capacity.…”

Section: Classification Of Emerging Edge-iot Technologiesmentioning

confidence: 99%

Emerging Edge Computing Technologies for Distributed IoT Systems

Alnoman

Sharma

Ejaz³

et al. 2019

IEEE Network

View full text Add to dashboard Cite

The ever-increasing growth in the number of connected smart devices and various Internet of Things (IoT) verticals is leading to a crucial challenge of handling massive amount of raw data generated from distributed IoT systems and providing real-time feedback to the end-users. Although existing cloudcomputing paradigm has an enormous amount of virtual computing power and storage capacity, it is not suitable for latency-sensitive applications and distributed systems due to the involved latency and its centralized mode of operation. To this end, edge/fog computing has recently emerged as the next generation of computing systems for extending cloud-computing functions to the edges of the network.Despite several benefits of edge computing such as geo-distribution, mobility support and location awareness, various communication and computing related challenges need to be addressed in realizing edge computing technologies for future IoT systems. In this regard, this paper provides a holistic view on the current issues and effective solutions by classifying the emerging technologies in regard to the joint coordination of radio and computing resources, system optimization and intelligent resource management. Furthermore, an optimization framework for edge-IoT systems is proposed to enhance various performance metrics such as throughput, delay, resource utilization and energy consumption.Finally, a Machine Learning (ML) based case study is presented along with some numerical results to illustrate the significance of edge computing.

show abstract

“…Adiono et al proposed a system platform named meshed and internet networked devices system to interconnect the home appliances in a meshed fashion. Sahni et al presented a mesh networking architecture IoTs to ease computing requirements of IoT devices. In the work of Hou et al, a spectrum sharing mechanism is presented for multihop CRMNs.…”

Section: Related Workmentioning

confidence: 99%

Distributed energy‐efficient channel assignment in cognitive mesh network for IoT systems

Hasan

Ejaz

Anpalagan

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Internet of Things (IoT) has attracted a lot of attention to solve the real‐world problem to improve quality of life. Cognitive radio mesh networks (CRMNs) can provide connectivity to a large number of IoT nodes and have the potential to self‐organize and reconfigure to make efficient use of spectrum resources. The growing concern regarding energy consumption in communication infrastructure and low power IoT nodes has led researchers to regard minimizing of energy consumption. In this paper, we propose a distributed energy‐efficient channel assignment in CRMNs for the IoT systems. We formulate an optimization problem for channel assignment and sharing in CRMNs for IoT systems with an objective to maximize energy‐efficiency of the network. We consider constraints on both intra and inter‐link interference. We then propose two distributed approaches to solve the channel assignment problem: (1) greedy approach and (2) game theoretic approach while considering the scalability and self‐organization requirements of the CRMNs for the IoT systems. We then present extensive simulation results to demonstrate the performance of proposed schemes.

show abstract

Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Things

Cited by 181 publications

References 42 publications

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Lightweight Security Algorithm on PMIPV6 Protocol for IOT Based Wireless Sensor Networks

Emerging Edge Computing Technologies for Distributed IoT Systems

Distributed energy‐efficient channel assignment in cognitive mesh network for IoT systems

Contact Info

Product

Resources

About