Self Organizing Target- Reporting Sensor Node Selection for Underwater Wireless Sensor Network

Author(s):  
Samedha S. Naik
2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Sen Zhang ◽  
Wendong Xiao ◽  
Jun Gong

This paper proposes a human tracking approach in a distributed wireless sensor network. Most of the efforts on human tracking focus on vision techniques. However, most vision-based approaches to moving object detection involve intensive real-time computations. In this paper, we present an algorithm for human tracking using low-cost range wireless sensor nodes which can contribute lower computational burden based on a distributed computing system, while the centralized computing system often makes some information from sensors delay. Because the human target often moves with high maneuvering, the proposed algorithm applies the interacting multiple model (IMM) filter techniques and a novel sensor node selection scheme developed considering both the tracking accuracy and the energy cost which is based on the tacking results of IMM filter at each time step. This paper also proposed a novel sensor management scheme which can manage the sensor node effectively during the sensor node selection and the tracking process. Simulations results show that the proposed approach can achieve superior tracking accuracy compared to the most recent human motion tracking scheme.


Author(s):  
Duy-Hung Ha ◽  
Duy-Binh Ha ◽  
Van-Truong Truong ◽  
Van-Duc Phan ◽  
Q. S. Vu

In this paper, we investigate a relaying wireless sensor network (WSN) with the non-orthogonal multiple access (NOMA) and sensor node selection schemes over Rayleigh fading. Precisely, the system consists of two sensor clusters, a sink node, and an amplify-and-forward (AF) relay. These sensors applying the NOMA and sensor node selection schemes transmit the sensing data from the sensor clusters via the relay to the sink. We derived the expressions of outage probability and throughput for two sensor nodes. We also provide numerical results to examine the behavior of the system. Finally, we verify the validity of our analysis by using the Monte-Carlo simulation.


2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.


Author(s):  
Sardjoeni Moedjiono ◽  
Aries Kusdaryono

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.


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