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Swarm Intelligence: A Primer

Matthew N. O. Sadiku, Mahamadou Tembely, Sarhan M. Musa
2018 International Journal of Advanced Research in Computer Science and Software Engineering  
Swarm intelligence is the emergent collective intelligence of groups of simple agents. It belongs to the emerging field of bio-inspired soft computing.  ...  It is inspired from the biological entities such as birds, fish, ants, wasps, termites, and bees. Bio-inspired computation is a field of study that is closely related to artificial intelligence.  ...  Routing in MANET is very difficult due to its dynamic topology and limited bandwidth. A new set of routing protocols based on swarm intelligence for MANETs has emerged.  ... 
doi:10.23956/ijarcsse.v8i5.681 fatcat:p6b2fiosorbdpm5fvb5hna3v5q

A survey on bio inspired meta heuristic based clustering protocols for wireless sensor networks

A Datta, S Nandakumar
2017 IOP Conference Series: Materials Science and Engineering  
Swarm Intelligence based techniques inspired by the foraging behavior of ants, termites and honey bees can be artificially simulated and utilized to solve real wireless network problems.  ...  The author presents a brief survey on various bio inspired swarm intelligence based protocols used in routing data in wireless sensor networks while outlining their general principle and operation.  ...  Swarm intelligence is a bio-inspired meta heuristic developed based on the collective behavior of distributed, decentralized, self-organizing intelligent systems which communicate locally and globally  ... 
doi:10.1088/1757-899x/263/5/052026 fatcat:lwthrugnjfgx5hndknzhai3asy

Investigation On Novel Based Metaheuristic Algorithms For Combinatorial Optimization Problems In Ad Hoc Networks

C. Rajan, N. Shanthi, C. Rasi Priya, K. Geetha
2014 Zenodo  
The algorithms that are inspired by the principles of natural biological evolution and distributed collective behavior of social colonies have shown excellence in dealing with complex optimization problems  ...  Routing in MANET is extremely challenging because of MANETs dynamic features, its limited bandwidth, frequent topology changes caused by node mobility and power energy consumption.  ...  In biological inspired artificial intelligence concepts like the approach of swarm intelligence, where the behavior of social insects like ants or bees is copied and with the help of that the communication  ... 
doi:10.5281/zenodo.1096161 fatcat:jtnbmkm5vbdbvigaigvkx6zb34

Bio-Inspired Networking — Self-Organizing Networked Embedded Systems [chapter]

Falko Dressler
2009 Understanding Complex Systems  
Based on a review of the needs and requirements in such networks, we study selected bio-inspired networking approaches that claim to outperform other methods in specific domains.  ...  In particular, we study the behavior and the challenges in networked embedded systems that are meant to self-organize in large groups of nodes.  ...  Bio-inspired Techniques in Technical Systems The development in the area of bio-inspired engineering is relying on various research fields including swarm intelligence, the artificial immune system, evolutionary  ... 
doi:10.1007/978-3-540-77657-4_13 fatcat:b5itvfopuvdbpcaxw663bzwv7m

Applications and Evaluations of Bio-Inspired approaches in Cloud Security: A Review

Md Manjurul Ahsan, Kishor Datta Gupta, Abhijit Kumar Nag, Subash Pouydal, Abbas Z. Kouzani, M A Parvez Mahmud
2020 IEEE Access  
Among those, bio-inspired algorithms such as Evolutionary, Swarm, Immune, and Neural algorithms are the most prominent ones which are developed based on nature's ecosystems.  ...  Therefore, this study provides an overview of bio-inspired algorithms application and evaluations, taking into account cloud security challenges,  ...  SWARM ALGORITHMS Some insects or animals' behavior has inspired researchers to solve many problems in science and engineering (i.e., swarms of bees, the flock of birds).  ... 
doi:10.1109/access.2020.3027841 fatcat:f4ufhhyuivfinjraxe2whjdo4a

Optimization Techniques Incorporating Evolutionary Model in Wireless Sensor Network: A Survey

Vidya Honguntikar, Dr. G. S Biradar
2014 IOSR Journal of Computer Engineering  
These evolutionary techniques are studied from the Environment and are used to incorporate similar behavior in Wireless Sensor Networks.  ...  In this paper we present the summary of different optimization techniques incorporating Evolutionary model and their approach in the different areas of Wireless sensor Network.  ...  In short it is collective behavior of decentralized, self-organized systems, natural or artificial. This concept of Swarm intelligence is invented by Gerardo Beni and Jing Wang in 1989.  ... 
doi:10.9790/0661-16521924 fatcat:pcvyy34mxvhydf7dw3hnwpwux4

Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions

Sohail Jabbar, Rabia Iram, Abid Ali Minhas, Imran Shafi, Shehzad Khalid, Muqeet Ahmad
2013 International Journal of Distributed Sensor Networks  
We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends.  ...  In the current research inclination, hiring of biological solutions to solve and optimize different aspects of arti�cial systems' problems has been shaped into an important �eld with the name of bio-inspired  ...  Its typical consortium is shown in Tables 1 and 2. ree key sub�elds are loosely knit together to form the core of bio-inspired computing which are connectionism, social behavior, and emergence.  ... 
doi:10.1155/2013/421084 fatcat:auqe54x6fjauddvdcktouyukae

A Task Offloading Approach using Classification and Particle Swarm Optimization
분류와 Particle Swarm Optimization을 이용한 태스크 오프로딩 방법

John Cristopher A. Mateo, Jaewan Lee
2017 Journal of Internet Computing and services  
With the growing trend of mobile devices, mobile cloud computing can also benefit from applying bio-inspired techniques.  ...  Innovations from current researches on cloud computing such as applying bio-inspired computing techniques have brought new level solutions in offloading mechanisms.  ...  Particle Swarm Optimization uses a bio-inspired technique where each particle finds a solution through the means of both personal best and social best solutions, allowing them to converge on possible global  ... 
doi:10.7472/jksii.2017.18.1.01 fatcat:22oegpcyjrh7bhz4trx6oz2duu

Autonomous Flying With Neuromorphic Sensing

Patricia P. Parlevliet, Andrey Kanaev, Chou P. Hung, Andreas Schweiger, Frederick D. Gregory, Ryad Benosman, Guido C. H. E. de Croon, Yoram Gutfreund, Chung-Chuan Lo, Cynthia F. Moss
2021 Frontiers in Neuroscience  
In this paper, we argue for a bio-inspired approach to solve autonomous flying challenges, outline the frontier of sensing, data processing, and flight control within a neuromorphic paradigm, and chart  ...  We consider pertinent features of insect, bat and bird flight behavior as examples to address various vital aspects of autonomous flight.  ...  Develop principles to integrate neuromorphic and convolutional approaches to harness their mutual advantages FIGURE 1 | 1 FIGURE 1 | Schematic route from bio-inspired behaviors toward neuromorphic sensors  ... 
doi:10.3389/fnins.2021.672161 pmid:34054420 pmcid:PMC8160287 fatcat:nw6twkp3abeonlkqmtvc3nutsi

A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents [chapter]

Muhammad Shafiq, Zain Anwar Ali, Eman H. Alkhammash
2021 Motion Planning [Working Title]  
Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms.  ...  The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algorithms is making it more suitable for complex optimization  ...  For hybrid models, combination of other bio-inspired algorithm like ACO, GA etc. with PIO still lacking in this area.  ... 
doi:10.5772/intechopen.99881 fatcat:rcltdyrpufgrxm55pbscdtd4wm

Computational Intelligence Techniques for Wireless Sensor Network: Review

Sonal Chawla, Manju Manju, Sugandha Singh
2015 International Journal of Computer Applications  
WSNs face various problem, communication failures, storage and computational constraints and limited power supply. The main challenge occur in WSN to save energy and prolong the network lifetime.  ...  Wireless sensors (nodes) in the network sense extract data from the various surrounding environment, sequence the sensed data locally, and then transfer the data to a base station for further processing  ...  Swarm intelligence (SI) is one of the best solutions from bio inspired computing for such heuristic optimization Particle Swarm Optimization (PSO) Particle Swarm optimization was developed in 1995 by  ... 
doi:10.5120/20815-3180 fatcat:ijc3now5jvdptdqcv4zaxxpkca

A survey on bio-inspired networking

Falko Dressler, Ozgur B. Akan
2010 Computer Networks  
In this paper, the current state-of-the-art in bio-inspired networking is captured.  ...  Furthermore, the domain of bio-inspired networking is linked to the emerging research domain of nanonetworks, which bring a set of unique challenges.  ...  In general, swarm intelligence is based on the observation of the collective behavior of decentralized and selforganized systems such as ant colonies, flocks of fishes, or swarms of bees or birds [13]  ... 
doi:10.1016/j.comnet.2009.10.024 fatcat:hkc3vn42pfdfddkwxff7ojwrzu

Nature Inspired Optimization Techniques, A review for FANETs

2020 Sukkur IBA journal of emerging technologies  
Routing and cooperative task allocation of nodes is complex in ad hoc networks. In contrast of the study of traditional schemes, our paper is based on the nature inspired schemes.  ...  This review study in on routing protocols of BeeAdHoc, AntHocNet and Moth-Ant inspired routing.  ...  Alike to other swarms' algorithm, algorithm of bee started to collect the data and transmitted to other nodes. Fig. 2 shows the bee colony behavior diagram.  ... 
doi:10.30537/sjet.v3i2.716 fatcat:bcliintbgnd3hkbfkwwwszuchy

Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review

Rajiv Yadav, Indu Sreedevi, Daya Gupta
2022 Electronics  
In this paper, we explore recently used hybridization techniques (DE-GA, GA-PSO, PSO-ACO, PSO-ABC, PSO-GWO, etc.) for bio-inspired algorithms to improve the energy efficiency of WSNs.  ...  Nature-inspired algorithms are gaining traction as a viable solution for addressing important challenges in WSNs, such as sensor lifespan and transmission distance.  ...  Acknowledgments: This work has been carried out under the supervision of Indu Sreedevi, Department of ECE, and Daya Gupta, Department of CSE, Delhi Technological University, New Delhi, India, and I (Rajiv  ... 
doi:10.3390/electronics11101545 fatcat:4siewt3pp5a2vleb4k65hlubxi

Swarm Robotic Behaviors and Current Applications

Melanie Schranz, Martina Umlauft, Micha Sende, Wilfried Elmenreich
2020 Frontiers in Robotics and AI  
In swarm robotics multiple robots collectively solve problems by forming advantageous structures and behaviors similar to the ones observed in natural systems, such as swarms of bees, birds, or fish.  ...  In this paper we collect and categorize these behaviors into spatial organization, navigation, decision making, and miscellaneous.  ...  In contrast to the bio-inspired approaches, Trianni and Nolfi (2009) synthesize synchronization strategies using artificial evolution.  ... 
doi:10.3389/frobt.2020.00036 pmid:33501204 pmcid:PMC7805972 doaj:b6b5ca0ab5e74460ba9da0c68be2998b fatcat:jhagkabpevccfpfsrtdbozq6wy
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