A Smart Discovery Service in Internet of Things Using Swarm Intelligence

2017 ◽  
pp. 75-86 ◽  
Author(s):  
Agostino Forestiero
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Discovery Service

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.

scholarly journals Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches

2021 ◽  
pp. 1-1
Author(s):  
Dimitrios Pliatsios ◽  
Sotirios K. Goudos ◽  
Thomas Lagkas ◽  
Vasileios Argyriou ◽  
Alexandros Apostolos A. Boulogeorgos ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Base Station ◽  
Next Generation ◽  
Next Generation Internet

scholarly journals A Review of Various Swarm Intelligence Based Routing Protocols for Iot

2017 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Shailja Agnihotri ◽  
K.R. Ramkumar
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Routing Algorithms ◽  
Link Failures ◽  
Routing Mechanism ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Insight Into

The paper provides insight into various swarm intelligence based routing protocols for Internet of Things (IoT), which are currently available for the Mobile Ad-hoc networks (MANETs) and wireless sensor networks (WSNs). There are several issues which are limiting the growth of Internet of Things. These include the reliability, link failures, routing, heterogeneity etc. The MANETs and WSNs routing issues impose almost same requirements for IoT routing mechanism. The recent work of the worldwide researchers is focused on this area. protocols are based on the principles of swarm intelligence. The swarm intelligence is applied to achieve the optimality and the efficiency in solving the complex, multi-hop and dynamic requirements of the wireless networks. The application of the ACO technique tries to provide answers to many routing issues. Using the swarm intelligence and ant colony optimization principles, it has been seen that, the protocols’ efficiency definitely increases and also provides more scope for the development of more robust, reliable and efficient routing protocols for the IoT. As the various standard protocols available for MANETs and WSNs are not reliable enough, the paper finds the need of some efficient routing algorithms for IoT.

An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications

2018 ◽  
Vol 10 (9) ◽  
pp. 3469-3479 ◽  
Author(s):  
Hamid Reza Boveiri ◽  
Raouf Khayami ◽  
Mohamed Elhoseny ◽  
M. Gunasekaran
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Task Scheduling ◽  
Intelligence Approach

scholarly journals Embedding Swarm Intelligence in Internet of Things Networks: A Social Insect Approach

2020 ◽  
pp. 80-87
Author(s):  
Sergio V Davalos, Ph.D.
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Social Insect ◽  
Insect Behavior ◽  
Agent Based Modeling ◽  
The Internet ◽  
Evolutionary Adaptation ◽  
Agent Based ◽  
The Internet Of Things

This paper introduces a framework for embedding intelligence in the Internet of Things (IoT) networks. The framework draws upon agent-based modeling, swarm intelligence, social insect behavior, and evolutionary adaptation. The key principles for each of these areas are first discussed. These concepts are then discussed from an IoTs perspective. The resulting capabilities and potential of embedding this type of intelligence are outlined.

Swarm Intelligence-Based Uplink Power Control in Cognitive Internet of Things (CIoT) for Underlay Environment

2021 ◽  
Vol 12 (3) ◽  
pp. 180-194
Author(s):  
Babar Sultan ◽  
Imran Shafi ◽  
Jamil Ahmad
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Cognitive Abilities ◽  
Spectrum Sharing ◽  
Utilization Efficiency ◽  
Spectrum Utilization ◽  
Communication Performance ◽  
Bee Colony ◽  
Uplink Power Control

Internet of things (IoT) aims to shift intelligence to things and tends to increase the spectrum utilization efficiency. However, in doing so, it might generate high interference to the primary users (PUs) due to massive data flow into the networks. Cognitive radio smartly addresses this challenge by enabling different spectrum sharing modes while guaranteeing the quality of service. Motivated by this fact, the incorporation of cognitive abilities in IoT has given birth to a new sub-domain in IoT, known as Cognitive IoT (CIoT). This paper considers a single cell scenario in which multiple CIoT users (CUs) coexist with a PU in an underlay environment, and their communication performance has been optimized while adhering to the transmit power and interference constraints. Furthermore, two swarm intelligence-based implementations of the proposed algorithm have been provided, one based on Artificial Bee Colony (ABC) and the other based on Particle Swarm Optimization (PSO), and their effectiveness to solve the constrained power allocation problem for CIoT networks has been proved through simulations.

scholarly journals Swarm Intelligence via the Internet of Things and the Phenomenological Turn

Philosophies ◽  
2017 ◽  
Vol 2 (4) ◽  
pp. 19 ◽  
Author(s):  
Jordi Vallverdú ◽  
Max Talanov ◽  
Airat Khasianov
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
The Internet ◽  
The Internet Of Things
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