scholarly journals Network Lifetime Maximization of Sensor Network Based on Energy Aware Source Tree Routing

2018 ◽  
Vol 10 (02) ◽  
pp. 3788-3793
Author(s):  
Shivshanker .P.Biradar ◽  
Dr. T. S. Vishwanath
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Energy Aware ◽  
Lifetime Maximization ◽  
Source Tree ◽  
Tree Routing

Visual sensor network lifetime maximization by prioritized scheduling of nodes

2013 ◽  
Vol 36 (1) ◽  
pp. 409-419 ◽  
Author(s):  
M. Hooshmand ◽  
S.M.R. Soroushmehr ◽  
P. Khadivi ◽  
S. Samavi ◽  
S. Shirani
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Visual Sensor ◽  
Lifetime Maximization ◽  
Visual Sensor Network

A hybrid clustering and evolutionary approach for wireless underground sensor network lifetime maximization

2019 ◽  
Vol 504 ◽  
pp. 372-393 ◽  
Author(s):  
Nguyen Thi Tam ◽  
Huynh Thi Thanh Binh ◽  
Dinh Anh Dung ◽  
Phan Ngoc Lan ◽  
Le Trong Vinh ◽  
...  
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Evolutionary Approach ◽  
Lifetime Maximization ◽  
Hybrid Clustering

Cross Layer Optimization for Lifetime Maximization in Wireless Sensor Network Based on Particle Swarm Optimization

2013 ◽  
Vol 718-720 ◽  
pp. 1980-1985
Author(s):  
Chuan Zhu Liao ◽  
Ming Yan Jiang ◽  
Kun Kun Shang
Keyword(s):  
Particle Swarm Optimization ◽  
Sensor Network ◽  
Network Lifetime ◽  
Optimization Problem ◽  
Particle Swarm ◽  
Wireless Sensor ◽  
Maximization Problem ◽  
Lifetime Maximization ◽  
Swarm Optimization ◽  
Cross Layer Optimization

Network lifetime is a critical metric in the design of energy-constrained wireless sensor networks. In this paper, we consider the joint cross layer optimization of the physical layer, medium access control layer and routing layer to maximize network lifetime of a multi-sources and single-sink wireless sensor network with energy constraints. We focus on synchronous small-scale sensor network with interference-free link scheduling and practical MPSK link transmission scheme. As the network lifetime maximization problem is a constrained non-convex optimization problem that is difficult to be solved, and the particle swarm optimization algorithm is a good intelligent algorithm, we employ it to solve the problem mentioned above effectively in this paper. The penalty function technique is brought in to work out the constrained optimization problem by converting it to an unconstrained optimization problem. Simulation results show the effectiveness of the proposed algorithm in energy saving and network lifetime maximization, and the particle swarm optimization can solve the network lifetime maximization problem fast and efficiently.

Optimal Mobility Patterns of Multiple Base Stations for Wireless Sensor Network Lifetime Maximization

2017 ◽  
Vol 17 (21) ◽  
pp. 7177-7188 ◽  
Author(s):  
Omer Cayirpunar ◽  
Bulent Tavli ◽  
Esra Kadioglu-Urtis ◽  
Suleyman Uludag
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Base Stations ◽  
Wireless Sensor ◽  
Mobility Patterns ◽  
Lifetime Maximization
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