scholarly journals D7.4 - CMOS integrated miniaturized photovoltaic cells for autonomous sensor nodes: simulations and experimental results

2015 ◽  
Author(s):  
A. Goehlich ◽  
M. Stühlmeyer ◽  
H. Vogt
Keyword(s):  
Photovoltaic Cells ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Autonomous Sensor

scholarly journals Distributed Beacon Drifting Detection for Localization in Unstable Environments

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ming Xia ◽  
Peiliang Sun ◽  
Xiaoyan Wang ◽  
Yan Jin ◽  
Qingzhang Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Location Information ◽  
Detection Accuracy ◽  
Research Issue ◽  
Fundamental Research

Localization is a fundamental research issue in wireless sensor networks (WSNs). In most existing localization schemes, several beacons are used to determine the locations of sensor nodes. These localization mechanisms are frequently based on an assumption that the locations of beacons are known. Nevertheless, for many WSN systems deployed in unstable environments, beacons may be moved unexpectedly; that is, beacons are drifting, and their location information will no longer be reliable. As a result, the accuracy of localization will be greatly affected. In this paper, we propose a distributed beacon drifting detection algorithm to locate those accidentally moved beacons. In the proposed algorithm, we designed both beacon self-scoring and beacon-to-beacon negotiation mechanisms to improve detection accuracy while keeping the algorithm lightweight. Experimental results show that the algorithm achieves its designed goals.

scholarly journals Towards an Optimal Energy Consumption for Unattended Mobile Sensor Networks through Autonomous Sensor Redeployment

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jian Chen ◽  
Jie Jia ◽  
Yingyou Wen ◽  
Dazhe Zhao
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Mathematical Problem ◽  
Mobile Sensor Networks ◽  
Sensor Nodes ◽  
Target Area ◽  
Mobile Sensor ◽  
Energy Hole ◽  
Autonomous Sensor ◽  
Optimal Node

Energy hole is an inherent problem caused by heavier traffic loads of sensor nodes nearer the sink because of more frequent data transmission, which is strongly dependent on the topology induced by the sensor deployment. In this paper, we propose an autonomous sensor redeployment algorithm to balance energy consumption and mitigate energy hole for unattended mobile sensor networks. First, with the target area divided into several equal width coronas, we present a mathematical problem modeling sensor node layout as well as transmission pattern to maximize network coverage and reduce communication cost. And then, by calculating the optimal node density for each corona to avoid energy hole, a fully distributed movement algorithm is proposed, which can achieve an optimal distribution quickly only by pushing or pulling its one-hop neighbors. The simulation results demonstrate that our algorithm achieves a much smaller average moving distance and a much longer network lifetime than existing algorithms and can eliminate the energy hole problem effectively.

Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks

2017 ◽  
pp. 213-248 ◽  
Author(s):  
Sanatan Mohanty ◽  
Sarat Kumar Patra
Keyword(s):  
Quality Of Service ◽  
Performance Evaluation ◽  
Ieee 802.15.4 ◽  
Resource Constraints ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Mesh Topology ◽  
Autonomous Sensor

Wireless Sensor Network (WSN) consists of many tiny, autonomous sensor nodes capable of sensing, computation and communication. The main objective of IEEE 802.15.4 based WSN standard is to provide low cost, low power and short range communication. Providing QoS in WSN is a challenging task due to its severe resource constraints in terms of energy, network bandwidth, memory, and CPU. In this chapter, Quality of Service (QoS) performance evaluation has been carried out for IEEE 802.15.4 networks based WSN star and mesh topology using routing protocols like AODV, DSR and DYMO in QualNet 4.5 simulator. Performance evaluations metrics like Packet Delivery Ratio (PDR), throughput, average end to end delay, energy per goodput bit, network lifetime of battery model and total energy consumption which includes transmission, reception, idle and sleep mode were considered for both the topology. From the simulation studies and analysis, it can be seen that on an average DSR and DYMO performs better than AODV for different traffic load rates.

MNVPCS: Multinode Virtual-Point–Based Charging Scheme to Prolong the Lifetime of Wireless Rechargeable Sensor Networks

2019 ◽  
Vol 63 (2) ◽  
pp. 283-294
Author(s):  
Hong-Yi Chang ◽  
Zih-Huan Hang ◽  
Yih-Jou Tzang
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Mobile Wireless ◽  
Wireless Rechargeable Sensor Networks ◽  
Virtual Point ◽  
Over Time

Abstract Wireless-charging technology can utilize a mobile wireless charging vehicle (WCV) to rescue dying nodes by supplementing their remaining energy, and using WCVs in this way forms wireless rechargeable sensor networks (WRSNs). However, a WCV in a WRSN encounters several challenges, collectively called the optimized charging problem. This problem involves a set of sensor nodes randomly distributed on the ground for which the WCV must determine an appropriate travel path to charge the sensor nodes. Because these sensor nodes have different workloads, they exhibit different energy consumption profiles over time. Resolving the above-mentioned problem requires the determination of the priority of charging the sensor nodes based on the order in which they are expected to die and subsequently finding the most efficient path to charge the sensor nodes such that sensor death is avoided for as long as possible. Furthermore, the most efficient placement of the charging point needs to be considered when planning the charging path. To address this, the proposed multinode virtual point-based charging scheme (MNVPCS) considers both the planning of an efficient charging and the best location for the charging point. Experimental results show that MNVPCS can improve the lifetime of the entire WRSN and substantially outperform other methods on this measure.

Building Sensor Grid Architecture for Large-Scale Air Pollution Data Management

2013 ◽  
Vol 831 ◽  
pp. 276-281
Author(s):  
Ya Jie Ma ◽  
Zhi Jian Mei ◽  
Xiang Chuan Tian
Keyword(s):  
Air Pollution ◽  
Data Management ◽  
High Performance ◽  
Large Scale ◽  
Low Cost ◽  
Physical World ◽  
Sensor Nodes ◽  
Grid Architecture ◽  
Autonomous Sensor ◽  
Efficient Data

Large-scale sensor networks are systems that a large number of high-throughput autonomous sensor nodes are distributed over wide areas. Much attention has paid to provide efficient data management in such systems. Sensor grid provides low cost and high performance computing to physical world data perceived through sensors. This article analyses the real-time sensor grid challenges on large-scale air pollution data management. A sensor grid architecture for pollution data management is proposed. The processing of the service-oriented grid management is described in psuedocode. A simulation experiment investigates the performance of the data management for such a system.

scholarly journals Design and Application of Residential Area Noise Monitoring Based on Wireless Sensor

2017 ◽  
Vol 13 (07) ◽  
pp. 14
Author(s):  
Qiuling Zheng
Keyword(s):  
Optimization Algorithm ◽  
Residential Area ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Font Size ◽  
Deployment Optimization ◽  
The City ◽  
Design And Application

<p><span style="font-family: 宋体; font-size: medium;">A new node deployme</span><span style="font-size: medium;"><span style="font-family: 宋体;">nt optimization algorithm is proposed to solve deployment problems of the monitoring terminal. Based on wireless sensor, a kind of deployment optimization algorithm of sensor nodes location is put forward, and OMNET++ simulation is used for verification. The experimental results show that this deploy method can get good applications in different areas of the city and achieve higher deployment results. Therefore, it is concluded that the proposed algorithm is feasible and effective.</span></span></p>

scholarly journals Current Perspectives for Autonomous Sensor Nodes

Proceedings ◽  
2020 ◽  
Vol 56 (1) ◽  
pp. 7
Author(s):  
Marco Deluca ◽  
Anton Köck
Keyword(s):  
Control Systems ◽  
Sensor Nodes ◽  
Positive Energy ◽  
Distributed Information ◽  
Autonomous Sensor ◽  
Positive Energy Balance ◽  
Self Powered ◽  
And Storage ◽  
The Internet Of Things ◽  
Intelligent Action

The current technological trends associated with Industry 4.0 and the Internet of Things (IoT) require an interconnected network of sensor nodes providing distributed information on the environment to enable intelligent action to be taken by control systems. Such sensors need to be wireless, self-powered and energy independent. In this work we provide an overview of possible strategies to realize a positive energy balance in autonomous sensor nodes without the use of batteries. We will first overview different sensors in terms of power consumption. We will then concentrate on energy harvesting and storage, showing state-of-the-art possibilities in both cases.

Sign in / Sign up

Export Citation Format

Share Document