SALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network

نویسندگان

چکیده

In recent years, the maximization of a lifetime for wireless sensor networks is considered an important area researchers. The (WSNs) contain two types sensors that called nodes and sink which node send information to central (sink node) collected its data. Choosing best location critical problem faces networks. this paper, we propose method choosing by applying Salp Swarm Algorithm (SSA) after determining create transmission paths between rest using Prim’s minimum spanning tree choose shortest paths. Accordingly, fitness function used decrease energy consumption network. Simulation results clarify our proposed algorithm solves localization presents prolonging network’s compared Cat Optimization (CSA) Particle (PSO).

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lifetime maximization in wireless directional sensor network

This paper addresses two versions of a lifetime maximization problem for target coverage with wireless directional sensor networks. The sensors used in these networks have a maximum sensing range and a limited sensing angle. In the first problem version, predefined sensing directions are assumed to be given, whereas sensing directions can be freely devised in the second problem version. In that...

متن کامل

State of Art Techniques for Wireless Sensor Network Lifetime Maximization

The rapid advancement of digital electronics and wireless communications has resulted in more rapid development of Wireless Sensor Networks (WSN) technology. In the recent years, WSNs have seen great development in design and applications. WSNs involve deployment of huge number of wireless sensor nodes essentially for monitoring certain area and collecting data and sent collecting data to the b...

متن کامل

Particle swarm optimization for maximizing lifetime of wireless sensor networks

Particle swarm optimization (PSO) is a popular bio-inspired algorithm which is applied to solve various optimization problems in many areas including machine intelligence, data mining, robotics and computer networks. In this paper, we propose a PSO-based scheme to solve hot spot problem caused by multi-hop communication in a cluster-based wireless sensor network. The scheme consists of routing ...

متن کامل

Bat Swarm Algorithm for Wireless Sensor Networks Lifetime Optimization

Challenges of wireless sensor networks under-optimization in field of research have been globally concerned. Generally, lifetime extension is still considered to be the most dominant challenge for WSNs. Clustering and routing protocols have been proposed as optimization solutions to extend WSNs lifetime. In this paper, we introduce a newly meta-heuristic population based soft computing algorith...

متن کامل

Game Theory based Energy Efficient Hybrid MAC Protocol for Lifetime Enhancement of Wireless Sensor Network

Wireless Sensor Networks (WSNs) comprising of tiny, power-constrained nodes are getting very popular due to their potential uses in wide applications like monitoring of environmental conditions, various military and civilian applications. The critical issue in the node is energy consumption since it is operated using battery, therefore its lifetime should be maximized for effective utilization ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Indian Journal of Data Communication and Networking (IJDCN)

سال: 2021

ISSN: ['2582-760X']

DOI: https://doi.org/10.54105/ijdcn.b5006.041221