Using Nearest Neighbor Method and Subtractive Clustering-Based Method on Antenna-Array Selection Used in Virtual MIMO in Wireless Sensor Network

2009 ◽  
Author(s):  
Chiu-Ching Tuan ◽  
Jie-Hung Lee ◽  
Shu-Jun Chao
Keyword(s):  
Wireless Sensor Network ◽  
Antenna Array ◽  
Sensor Network ◽  
Nearest Neighbor ◽  
Wireless Sensor ◽  
Subtractive Clustering ◽  
Virtual Mimo

Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network

2020 ◽  
pp. 1-16
Author(s):  
Monali Prajapati ◽  
Dr. Jay Joshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Virtual Mimo ◽  
Proposed Model ◽  
Multiple Input ◽  
Input Multiple Output

In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.

INVESTIGATING A WIRELESS SENSOR NETWORK OPTIMAL LIFETIME SOLUTION FOR LINEAR TOPOLOGIES

2006 ◽  
Vol 07 (01) ◽  
pp. 91-99 ◽  
Author(s):  
Keith Hellman ◽  
Michael Colagrosso
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Nearest Neighbor ◽  
Analytic Solution ◽  
Routing Algorithm ◽  
Optimal Solution ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Global Knowledge ◽  
Alternative Solutions

We investigate a known optimal lifetime solution for a linear wireless sensor network through simulation, and propose alternative solutions where a known optimal solution does not exist. The network is heterogeneous in the sensors' energy distribution and also in the amount of data each sensor must communicate. As a basis for comparison, we analyze the lifetime of a network using a simple, nearest-neighbor routing algorithm, and an analytic solution to the optimal lifetime of networks meeting certain constraints. Alternative solutions considered range from those requiring global knowledge of the network to solutions using only next-neighbor knowledge. We compare the performance of all the routing algorithms in simulation.

Research on Vehicle Networking Clustering Routing Algorithm Based on Subtractive Clustering

2014 ◽  
Vol 644-650 ◽  
pp. 2366-2369
Author(s):  
Li Zhe Yu ◽  
Tiao Juan Ren ◽  
Zhang Quan Wang ◽  
Ban Teng Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Driving Safety ◽  
Subtractive Clustering ◽  
Head Node ◽  
Intelligent Traffic System ◽  
Vehicle Networking

Vehicle networking is an important part of intelligent traffic system. It combines wireless sensor network and mobile autonomous network, which is better for drivers to obtain road condition information to ensure driving safety. This paper focuses on the analysis of subtractive clustering and proposed clustering routing algorithm based on subtractive clustering in order to reduce communication of wireless sensor network and redundant flooding and routing expanse. In the algorithm, cluster head selection adopts subtractive clustering to produce cluster node in node intensive place. Cluster forms by adopting current non cluster head node mechanism which reduced energy consumption. Then the maintenance method of cluster is proposed. At last, it introduces routing protocol of cluster which is easier for clustering structure to manage and synchronize network.

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