بهینه سازی فرا ابتکار ترکیبی برای شبکه های حسگر بی سیم (WSN)
ترجمه نشده

بهینه سازی فرا ابتکار ترکیبی برای شبکه های حسگر بی سیم (WSN)

عنوان فارسی مقاله: بهینه سازی فرا ابتکار ترکیبی مبتنی بر پروتکل انرژی کارامد برای شبکه های حسگر بی سیم (WSN)
عنوان انگلیسی مقاله: Hybrid meta-heuristic optimization based energy efficient protocol for wireless sensor networks
مجله/کنفرانس: مجله انفورماتیک مصری - Egyptian Informatics Journal
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات، مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: اینترنت و شبکه های گسترده، شبکه های کامپیوتری، هوش مصنوعی
کلمات کلیدی فارسی: شبکه های حسگر بی سیم، بهینه سازی کلونی مورچگان، مصرف بهینه انرژی، بهینه سازی ازدحام ذرات
کلمات کلیدی انگلیسی: Wireless sensor networks، Ant colony optimization، Energy efficient، Particle swarm optimization
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.eij.2018.01.002
دانشگاه: Department of Computer Science and Engineering, Punjab Technical University, Punjab, India
صفحات مقاله انگلیسی: 6
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 2/444 در سال 2017
شاخص H_index: 15 در سال 2019
شاخص SJR: 0/406 در سال 2017
شناسه ISSN: 1110-8665
شاخص Quartile (چارک): Q3 در سال 2017
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E11061
فهرست مطالب (انگلیسی)

Abstract

1- Introduction

2- Network energy model

3- Proposed technique

4- Experimental set-up and results

5- Conclusions

References

بخشی از مقاله (انگلیسی)

Abstract

Energy efficiency has recently turned out to be primary issue in wireless sensor networks. Sensor networks are battery powered, therefore become dead after a certain period of time. Thus, improving the data dissipation in energy efficient way becomes more challenging problem in order to improve the lifetime for sensor devices. The clustering and tree based data aggregation for sensor networks can enhance the network lifetime of wireless sensor networks. Hybrid Ant colony optimization (ACO) and particle swarm optimization (PSO) based energy efficient clustering and tree based routing protocol is proposed. Initially, clusters are formed on the basis of remaining energy, then, hybrid ACOPSO based data aggregation will come in action to improve the inter-cluster data aggregation further. Extensive analysis demonstrates that proposed protocol considerably enhances network lifetime over other techniques.

Introduction

With the advent of Wireless Sensor Networks, inaccessible environments can be easily monitored. It is a powerful tool to gather data in many applications like military surveillance, battle-field, forestry, oceanography, temperature, pressure, humidity, etc. [1]. WSNs contain number of sensor nodes which are connected together and to a base station. WSNs include sensing of data through sensor nodes, processing of data, and transmission to base station. Charging and reinstallation of sensor nodes do not possible in difficult environments. So, energy conservation is a big challenge in WSNs. Recently, researchers gave a solution to this problem by organizing the nodes into clusters and enhance the life-time of WSNs [2]. Further, routing protocols are implemented in cluster WSNs to guide the selection of Cluster Heads (CHs) and discover best route to save the energy of nodes [3]. A typical cluster based wireless sensor network is shown in Fig. 1. Nayak and Anurag Devulapalli [4] utilized fuzzy logic based clustering technique to reduce the energy consumption rate further. In this method, size of cluster is optimized through Fuzzy inference engine (Mamdani’s rule). The appropriate selection of CHs reduces the energy consumption and enhances the life of network. Gong et al. [5] designed a routing protocol ETARP (i.e., Energy Efficient Trust-Aware Routing Protocol for Wireless Sensor Networks) to reduce the energy consumption and increase the security during communication among nodes in WSNs. The selection of route between sensor nodes is based on utility theory. Shi et al. [6] addressed the issue of mobile sinks like route maintenance in WSNs by introducing dynamic layered routing protocol. The distribution frequencies and scopes of routing updates are minimized using the combination of dynamic anchor selection and dynamic layered Voronoi scoping.