Construction of Effective Wireless Sensor Network for Smart Communication Using Modified Ant Colony Optimization Technique

Banerjee, A.; De, Sudip Kumar; Majumder, Koushik; Das, Victor; Giri, Debasis; Shaw, Rabindra Nath; Ghosh, Ankush

doi:10.1007/978-981-16-2164-2_22

Cited by 34 publications

(5 citation statements)

References 12 publications

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“…Maximization of the Coverage Area is also considered using hybrid Differential Evolution-Quantum behaved Particle Swarm Optimization (DE-QPSO)". Recently in Banerjee et al [21], the author discussed a way to optimize the coverage area in Fog Network that consists of WSNs, while minimizing the energy consumption. For deployment of the WSN, random deployment is used and for optimization algorithm, "Ant Colony Optimization (ACO)" has been used.…”

Section: Literature Surveymentioning

confidence: 99%

Design of Energy Efficient WSN Using a Noble SMOWA Algorithm

Banerjee¹,

Garg²,

Das³

et al. 2022

Computers, Materials &Amp; Continua

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In this paper, the establishment of efficient Wireless Sensor Network (WSN) networks has been projected to minimize the consumption of energy using a new Self-adaptive Multi-Objective Weighted Approach (SMOWA) algorithm for solving a multi-objective problem. The Different WSN nodes deployment policies have been proposed and applied in this paper to design an efficient Wireless Sensor Network to minimize energy consumption. After that, the cluster head for each cluster has been selected with the help of the duty cycle. After configuring the WSN networks, the SMOWA algorithms have been developed to obtain the minimum energy consumption for the networks. Energy minimization, as well as the amount of day-saving, has been calculated for the different WSNs which has been configured through different deployment policies. The major finding of the research paper is to improve the durability of Wireless Sensor Network (i) applying different deployment strategies: (Random, S pattern and nautilus shell pattern), and (ii) using a new Meta-heuristic algorithm (SMOWA Algorithm). In this research, the lifetime of WSN has been increased to a significant level. To choose the best result set from all the obtained results set some constraints such as "equivalent distribution", "number of repetitions", "maximum amount energy storage by a node" has been set to an allowable range.

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Section: Literature Surveymentioning

confidence: 99%

Design of Energy Efficient WSN Using a Noble SMOWA Algorithm

Banerjee¹,

Garg²,

Das³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

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“…Among ACO scientific literature, three main research lines can be distinguished. On the one hand, the majority of the state-of-the-art works are clearly focused on the application of ACO metaheuristics to different and computationally challenging applications and domains, such as UAV search missions [19], maximizing influence in social networks [20] or in wireless sensor networks [21]. For more ACO applications, the reader is kindly referred to [17].…”

Section: Recent Trends In Aco Algorithmsmentioning

confidence: 99%

Rank-Based Ant System with Originality Reinforcement and Pheromone Smoothing

2022

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Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant System (AS), several ACO variants have been proposed in the literature. Owing to their superior performance over other alternatives, the most popular ACO algorithms are Rank-based Ant System (ASRank), Max-Min Ant System (MMAS) and Ant Colony System (ACS). While ASRank shows a fast convergence to high-quality solutions, its performance is improved by other more widely used ACO variants such as MMAS and ACS, which are currently considered the state-of-the-art ACO algorithms for static combinatorial optimization problems. With the purpose of diversifying the search process and avoiding early convergence to a local optimal, the proposed approach extends ASRank with an originality reinforcement strategy of the top-ranked solutions and a pheromone smoothing mechanism that is triggered before the algorithm reaches stagnation. The approach is tested on several symmetric and asymmetric Traveling Salesman Problem and Sequential Ordering Problem instances from TSPLIB benchmark. Our experimental results show that the proposed method achieves fast convergence to high-quality solutions and outperforms the current state-of-the-art ACO algorithms ASRank, MMAS and ACS, for most instances of the benchmark.

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“…Because of the medium, any hacker can break through the network and obtain its health data [4]. Passive (eavesdropping hackers on the health data exchanged between the parties without alteration or injecting false data into the network) and active are two kinds of attacks (eavesdropping hackers on the health data and conducting malicious events with it before retransmitting to nodes for the purpose of network destruction or grabbing them) [5,6]. In order to transmit important data in this kind of network, it should keep the information as possible, as well as prevent unwanted parties from providing fake information to sensors.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the network has 6 sensors, for instance, N = 6, lambda = 3 (secure parameter), and q = 29 (prime numbers). Modified adjacency matrix: To suppose two nodes such as sensor 2 and sensor 5, who wish to communicate with one another, we shall multiply sensor 2's private row from matrix A, which is A (2) in sensor 5's public column, by G. (5). In a similar manner, sensor 5 multiplies its private row A (5) in node 2's G public column (2).…”

mentioning

confidence: 99%

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

2023

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Wireless sensor networks (WSNs) have developed during the past twenty years as a result of the accessibility of inexpensive, short-range, and simple-to-deploy sensors. A WSN technology sends the real-time sense information of a specific monitoring environment to a backend for processing and analysis. Security and management concerns have become hot topics with WSN systems due to the popularity of wireless communication channels. A large number of sensors are dispersed in an unmonitored medical environment, making them not safe from different risks, even though the information conveyed is vital, such as health data. Due to the sensor′s still limited resources, protecting information in WSN is a significant difficulty. This paper presents a hierarchical key management method for safeguarding heterogeneousWSNs on hybrid energy-efficient distributed (HEED) routing. In the proposed method, the Bloom scheme is used for key management and a pseudo-random number generator (PRNG) to generate keys in an efficient method to keep sensor resources. In addition, using cipher block chaining-Rivest cipher 5 (CBC-RC5) in this method achieved cryptography goals such as confidentiality. A comparison is made between the proposed and existing methods such as dynamic secret key management (DSKM) and smart security implementation (SSI) under the same circumstance to determine the performance of the new method. The data transmission in WSN consumes about 71 percent of a sensor′s energy, while encryption computation consumes only 2 percent. As a result, our method reduces the frequency with which data transmissions are made during the key management process. The simulation findings demonstrated that, in comparison to earlier techniques, the proposed method is significantly more secure, flexible, scalable, and energy-efficient. Our proposed method is also able to prevent classifications of node capture attacks.

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Construction of Effective Wireless Sensor Network for Smart Communication Using Modified Ant Colony Optimization Technique

Cited by 34 publications

References 12 publications

Design of Energy Efficient WSN Using a Noble SMOWA Algorithm

Design of Energy Efficient WSN Using a Noble SMOWA Algorithm

Rank-Based Ant System with Originality Reinforcement and Pheromone Smoothing

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

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