Evaluation and implementation of cluster head selection in WSN using Contiki/Cooja simulator

Sharad,; Kaur, Er. Navpreet; Aulakh, Inderdeep Kaur

doi:10.1080/09720510.2020.1736324

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…The proposed RDSAOA-EECP protocol and the benchmarked GAPSO-CS, EHOCS and GAMFO approaches are evaluated using MATLAB 2014b version installed over Intel Core i5 processor with 8GB RAM and 2.30 GHz CPU [27][28][29][30][31]. The simulation environment comprises of 500 sensor nodes deployed randomly in a two-dimensional network area of 1500x1500 square meters with one sink node placed at the position of (500m,500m) in the network.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Rajeswarappa

Vasundra

2021

Wireless Pers Commun

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Energy stability is considered as the core challenge of Wireless Sensor Networks (WSNs) as it is the main factor that contributes towards improved network lifetime expectancy. Clustering with maximized energy efficiency is determined to be the well documented NP hard optimization solution that has the possibility of resulting in prolonged network lifetime. Diversified number of computational approaches that includes nature inspired metaheuristic algorithms, reinforcement schemes and evolutionary algorithms were used for attaining efficient clustering process in WSNs. In this paper, Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol (RDSAOA-EECP) is proposed for improving lifetime expectancy and energy stability in WSNs. This clustering protocol is proposed with the global optimization capability of the red deer optimization algorithm and local optimization potential of simulation annealing. In specific, RDA is used for diversification and Simulated Annealing (SA) for intensification in order to establish balance between them during the clustering process in order to sustain energy stability. This RDSAOA-EECP protocol is proposed with SA as the search tool that prevents the phases of fighting and roaring phases of RDA involved in the intensification process. Moreover, this clustering protocol inherits the potentialities of the proposed metaheuristic properties in order to achieve optimal cluster heads together with the optimal base station location for the objective of enhancing energy efficiency. The simulation results of the proposed RDSAOA-EECP protocol guaranteed its potentiality over the baseline clustering approaches in improving network lifetime, throughput, packet deliver rate with minimized network latency and energy consumptions independent to the homogeneous and heterogeneous sensor network setup considered for implementation.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Rajeswarappa

Vasundra

2021

Wireless Pers Commun

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“…Two emulator software packages are contained by this tool: Avrora and MSPSim. Cooja can emulate multiple platforms like: TelosB/SkyMote, MicaZ mote, Zolertia Z1 mote, ESB, Wismote [41].…”

Section: Simulation and Resultsmentioning

confidence: 99%

A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events

Nawaz¹,

Malik²,

Alshaor³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Technologies are growing with the passage of time and providing solutions for the existing problems. One of such problems is to manage the crowd according to available capacity. Especially when the crowd density is dynamic because of dynamic position of the persons (Pilgrims). Not only dynamic position of the pilgrims makes crowd capacity dynamic but also special events increase and decrease in number of pilgrims that affect the capacity in a specific place. Therefore, it is not an easy job to estimate the available capacity according to the dynamic position and event. To overcome such problems of dynamic position and event-based crowd management different techniques and approaches are adopted. To solve the above-mentioned problem, this paper proposes a proactive approach to estimate the space occupy by the pilgrims in different positions in a zone or level. Maximum capacity in each zone and level is define on the basis of each position. On the basis of maximum and occupy capacities, available (remaining) capacity has been estimated in a zone and level according to the events such as Pilgrimage, Ramadan, Jummah etc. The occupied and available capacities in a zone, level or in the whole building can be estimated with the help of technologies such as Wireless Sensor Network (WSN), cloud computing, Internet of Things (IoT) and sensor topologies according to position and event. Simulation shows different scenarios according to the zones and different levels of building to prove the proactive approach. According to the results, it is concluded that zones, levels and point of entrances should be allocated to the pilgrims to avoid the congestion problems. Further for massive crowd and large area multi sink solution is better than single sink solution to estimate available capacity.

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“…COOJA simulator is explicitly built for Contiki, an operating system developed for settings with little memory, such as the nodes used in WSNs [124]. The COOJA simulator enables simultaneous cross-level modeling at three levels: the machine code instruction set, the application, and the operating system.…”

Section: ) Coojamentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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Evaluation and implementation of cluster head selection in WSN using Contiki/Cooja simulator

Cited by 11 publications

References 7 publications

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

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