NDLI: Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments

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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11

Issue 3, September 2016

Issue 2(Special Section on Best Papers from SASO 2014 and Regular Articles), July 2016

SASO 2014: Selected, Revised, and Extended Best Papers

Artificial Immunology for Collective Adaptive Systems Design and Implementation

Controlling Negative Emergent Behavior by Graph Analysis at Runtime

Modeling Robot Swarms Using Integrals of Birth-Death Processes

Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments

Trust-Based Decision Making in a Self-Adaptive Agent Organization

A Support System for Clustering Data Streams with a Variable Number of Clusters

Distributed Multirobot Formation and Tracking Control in Cluttered Environments

A Game-Theoretic Approach for Elastic Distributed Data Stream Processing

Transparent and Efficient Parallelization of Swarm Algorithms

Group Norms for Multi-Agent Organisations

Issue 1, April 2016

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 9

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 8

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 7

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 6

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 5

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 4

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 3

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 2

ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 1

Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments

Content Provider	ACM Digital Library
Author	Kominami, Daichi Kuze, Naomi Hashimoto, Tomoaki Kashima, Kenji Murata, Masayuki
Copyright Year	2016
Abstract	Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is slow in some practical applications compared to control with conventional deterministic systems using global information. It is therefore important to facilitate convergence of self-organizing controls. In controlled self-organization, which introduces an external controller into self-organizing systems, the network is controlled to guide systems to a desired state. Although existing controlled self-organization schemes could achieve this feature, convergence speed for reaching an optimal or semioptimal solution is still a challenging task. We perform potential-based self-organizing routing and propose an optimal feedback method using a reduced-order model for faster convergence at low cost. Simulation results show that the proposed mechanism improves the convergence speed of potential-field construction (i.e., route construction) by at most 22.6 times with low computational and communication cost.
Starting Page	1
Ending Page	26
Page Count	26
File Format	PDF
ISSN	15564665
e-ISSN	15564703
DOI	10.1145/2856424
Volume Number	11
Issue Number	2
Journal	ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-06-06
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Controlled self-organization Fast convergence Potential-based routing Robust control
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Controlled and self-organized routing for large-scale wireless sensor networks

Controlled potential-based routing for large-scale wireless sensor networks

Adaptive Agent-Based Self-Organization for Robust Hierarchical Topologies

Self-organized service placement in ambient intelligence environments

Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks

Simulating Routing Schemes on Large-Scale Topologies

Decentralized Robust Control for Dynamic Routing of Large Scale Networks

A Hybrid Hierarchical Control Plane for Flow-Based Large-Scale Software-Defined Networks

Decentralized approaches for self-adaptation in agent organizations

Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments

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