NBA: novel bio-inspired algorithm for energy optimization in WSN for IoT applications

Devassy, Deepa; Johnraja, J. Immanuel; Paulraj, Getzi Jeba Leelipushpam

doi:10.1007/s11227-022-04505-4

Cited by 16 publications

(13 citation statements)

References 23 publications

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“…IoT devices equipped with bio-inspired sensors and communication mechanisms have been deployed to monitor wildlife populations and protect endangered species. For example, researchers have developed bio-inspired camera traps that mimic the visual and auditory cues of prey to attract and photograph elusive or endangered animals [ 15 , 25 , 26 ].…”

Section: Bio-inspired Iotmentioning

confidence: 99%

“…Inspired by biological systems with hierarchical structures, bio-inspired IoT architectures often adopt layered or hierarchical arrangements. This allows for efficient data processing and decision making at different levels, enabling distributed intelligence and reducing the need for centralized control [ 15 , 16 , 17 , 18 , 19 ].…”

Section: The Bio-inspired Iot Ecosystemmentioning

confidence: 99%

“…Overall, the IoT is an ecosystem of connected devices that communicate with each other and exchange data. The integration of the IoT and the worldwide web has led to the creation of new kinds of services and applications in different domains, such as real-time surveillance, plant disease diagnosis, remote healthcare, real-time disease diagnosis, precision agriculture, air quality monitoring, and so on [ 1 , 2 , 3 , 4 , 5 , 12 , 13 , 14 , 15 , 16 ]. In general, IoT facilitates us to connect our digital belongings to the worldwide web, anytime, anywhere in the world [ 17 , 18 , 19 , 20 , 21 ], as depicted in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

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Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Alabdulatif,

Thilakarathne

2023

Biomimetics

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There is no doubt that the involvement of the Internet of Things (IoT) in our daily lives has changed the way we live and interact as a global community, as IoT enables intercommunication of digital objects around us, creating a pervasive environment. As of now, this IoT is found in almost every domain that is vital for human survival, such as agriculture, medical care, transportation, the military, and so on. Day by day, various IoT solutions are introduced to the market by manufacturers towards making our life easier and more comfortable. On the other hand, even though IoT now holds a key place in our lives, the IoT ecosystem has various limitations in efficiency, scalability, and adaptability. As such, biomimicry, which involves imitating the systems found in nature within human-made systems, appeared to be a potential remedy to overcome such challenges pertaining to IoT, which can also be referred to as bio-inspired IoT. In the simplest terms, bio-inspired IoT combines nature-inspired principles and IoT to create more efficient and adaptive IoT solutions, that can overcome most of the inherent challenges pertaining to traditional IoT. It is based on the idea that nature has already solved many challenging problems and that, by studying and mimicking biological systems, we might develop better IoT systems. As of now, this concept of bio-inspired IoT is applied to various fields such as medical care, transportation, cyber-security, agriculture, and so on. However, it is noted that only a few studies have been carried out on this new concept, explaining how these bio-inspired concepts are integrated with IoT. Thus, to fill in the gap, in this study, we provide a brief review of bio-inspired IoT, highlighting how it came into play, its ecosystem, its latest status, benefits, challenges, and future directions.

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Section: Bio-inspired Iotmentioning

confidence: 99%

Section: The Bio-inspired Iot Ecosystemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Alabdulatif,

Thilakarathne

2023

Biomimetics

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“…As mentioned above, recent studies [ 13 , 14 , 15 , 16 , 17 , 21 , 22 , 23 , 24 ] through simulation have observed that artificial intelligence and precisely bio-inspired techniques are preferable to traditional probabilistic and deterministic approaches subject to optimizing the energy consumption in IoT networks. In [ 17 , 21 ], the authors proved the proposed algorithm based on CSO obtains excellent performance over traditional approaches such as PSO, FL and GA for robust beam-forming approach, whereas authors in papers [ 24 , 25 ] CSO-based clustering routing protocol plays a significant role in reducing energy consumption over integration with bio-inspired approaches.…”

Section: Related Workmentioning

confidence: 99%

“…Recent studies have shown that meta-heuristics approaches are more suitable for approximately solving NP problems for CH selection [ 20 ]. Consequently, proper optimization methods such as fuzzy logic inference [ 13 , 14 ], bat algorithm [ 15 ], particle swarm optimization [ 16 , 17 , 18 ], differential evolutionary and harmony search [ 19 , 20 ], genetic algorithm (GA) [ 21 ], and bio-inspired chicken swarm optimization (CSO) have the potential to be effectively used for finding the optimal number of CHs [ 22 , 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Green Communication in Internet of Things: A Hybrid Bio-Inspired Intelligent Approach

Kumar

Kashyap

et al. 2022

Sensors

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Clustering is a promising technique for optimizing energy consumption in sensor-enabled Internet of Things (IoT) networks. Uneven distribution of cluster heads (CHs) across the network, repeatedly choosing the same IoT nodes as CHs and identifying cluster heads in the communication range of other CHs are the major problems leading to higher energy consumption in IoT networks. In this paper, using fuzzy logic, bio-inspired chicken swarm optimization (CSO) and a genetic algorithm, an optimal cluster formation is presented as a Hybrid Intelligent Optimization Algorithm (HIOA) to minimize overall energy consumption in an IoT network. In HIOA, the key idea for formation of IoT nodes as clusters depends on finding chromosomes having a minimum value fitness function with relevant network parameters. The fitness function includes minimization of inter- and intra-cluster distance to reduce the interface and minimum energy consumption over communication per round. The hierarchical order classification of CSO utilizes the crossover and mutation operation of the genetic approach to increase the population diversity that ultimately solves the uneven distribution of CHs and turnout to be balanced network load. The proposed HIOA algorithm is simulated over MATLAB2019A and its performance over CSO parameters is analyzed, and it is found that the best fitness value of the proposed algorithm HIOA is obtained though setting up the parameters, number of rooster, number of hen’s and swarm updating frequency. Further, comparative results proved that HIOA is more effective than traditional bio-inspired algorithms in terms of node death percentage, average residual energy and network lifetime by 12%, 19% and 23%.

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Energy Minimization in Wireless Sensor Networks Based Bio-Inspired Algorithms

Aabdaoui,

Idrissi

2023

Lecture Notes in Networks and Systems

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NBA: novel bio-inspired algorithm for energy optimization in WSN for IoT applications

Cited by 16 publications

References 23 publications

Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Green Communication in Internet of Things: A Hybrid Bio-Inspired Intelligent Approach

Energy Minimization in Wireless Sensor Networks Based Bio-Inspired Algorithms

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