Research on the Self-localization of Wireless Sensor Networks

2008 ◽  
Author(s):  
Xi-Rong Bao ◽  
Shi Zhang ◽  
Ding-Yu Xue
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
The Self ◽  
Wireless Sensor

scholarly journals The self-protection problem in wireless sensor networks

2007 ◽  
Vol 3 (4) ◽  
pp. 20 ◽  
Author(s):  
Dan Wang ◽  
Qian Zhang ◽  
Jiangchuan Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
The Self ◽  
Wireless Sensor ◽  
Self Protection

PECA

2014 ◽  
pp. 239-248
Author(s):  
Maytham Safar ◽  
Hasan Al-Hamadi ◽  
Dariush Ebrahimi
Keyword(s):  
Wireless Sensor Networks ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
The Self ◽  
Wireless Sensor ◽  
Human Intervention ◽  
Electronic Circuits ◽  
Power Efficient

Wireless sensor networks (WSN) have emerged in many applications as a platform to collect data and monitor a specified area with minimal human intervention. The initial deployment of WSN sensors forms a network that consists of randomly distributed devices/nodes in a known space. Advancements have been made in low-power micro-electronic circuits, which have allowed WSN to be a feasible platform for many applications. However, there are two major concerns that govern the efficiency, availability, and functionality of the network—power consumption and fault tolerance. This paper introduces a new algorithm called Power Efficient Cluster Algorithm (PECA). The proposed algorithm reduces the power consumption required to setup the network. This is accomplished by effectively reducing the total number of radio transmission required in the network setup (deployment) phase. As a fault tolerance approach, the algorithm stores information about each node for easier recovery of the network should any node fail. The proposed algorithm is compared with the Self Organizing Sensor (SOS) algorithm; results show that PECA consumes significantly less power than SOS.

scholarly journals Autonomic Wireless Sensor Networks: A Systematic Literature Review

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Jesús M. T. Portocarrero ◽  
Flávia C. Delicato ◽  
Paulo F. Pires ◽  
Nadia Gámez ◽  
Lidia Fuentes ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Autonomic Computing ◽  
The Self ◽  
Wireless Sensor ◽  
Model Transformations ◽  
Basic Operation ◽  
Self Healing

Autonomic computing (AC) is a promising approach to meet basic requirements in the design of wireless sensor networks (WSNs), and its principles can be applied to efficiently manage nodes operation and optimize network resources. Middleware for WSNs supports the implementation and basic operation of such networks. In this systematic literature review (SLR) we aim to provide an overview of existing WSN middleware systems that address autonomic properties. The main goal is to identify which development approaches of AC are used for designing WSN middleware system, which allow the self-management of WSN. Another goal is finding out which interactions and behavior can be automated in WSN components. We drew the following main conclusions from the SLR results: (i) the selected studies address WSN concerns according to the self-*properties of AC, namely, self-configuration, self-healing, self-optimization, and self-protection; (ii) the selected studies use different approaches for managing the dynamic behavior of middleware systems for WSN, such as policy-based reasoning, context-based reasoning, feedback control loops, mobile agents, model transformations, and code generation. Finally, we identified a lack of comprehensive system architecture designs that support the autonomy of sensor networking.

scholarly journals Keying Methods of using Protocols for Cryptography in Wireless Networks

2019 ◽  
Vol 8 (6S2) ◽  
pp. 631-637
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Sensor Networks ◽  
The Self ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Remote Sensor ◽  
Operational Modes

Faraway sensor kind out breeze up obviously practical reaction for the testing troubles in different tiers, as an instance, ordinary checking, enterprise and navy packages. at ease structure customs should be obliged remote sensor systems, wherein as it has a few detainment in asset use. Sensor focus focuses are battery controlled, growing the self-enough life of a wireless Sensor Networks in a trying out improvement trouble. anyway meanwhile the rate for gobbling up noteworthiness for sensor is excessive. to vanquish this difficulty, encryption and keying strategy is applied, so that it will lessen the wide variety for transmissions used to plan the brand new key when antique key is hacked. Identified records are encoded making use of RC4 encryption estimation in this correspondence structure. in this paper we middle round encryption and keying systems that is a promising other preference to lower the structure exertion. The rekeying convention understands customer express statistics, as an example, region records as a key seed. This gadget consists of operational modes. In first gadget, each inside monitors its one – bob associates downstream focus focuses. So we reveal the entire technique to streamline the transmission of correspondence shape amidst key time through blended and keying framework.

scholarly journals Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yuehai Wang ◽  
Weidong Wang ◽  
Shiying Cao ◽  
Shiju Li ◽  
Li Xie ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Super Resolution ◽  
Image Sensor ◽  
Image Sensors ◽  
The Self ◽  
Wireless Sensor ◽  
Resource Constrained ◽  
Self Similarity ◽  
Image Super Resolution

Wireless sensor networks, in combination with image sensors, open up a grand sensing application field. It is a challenging problem to recover a high resolution(HR)image from its low resolution(LR)counterpart, especially for low-cost resource-constrained image sensors with limited resolution. Sparse representation-based techniques have been developed recently and increasingly to solve this ill-posed inverse problem. Most of these solutions are based on an external dictionary learned from huge image gallery, consequently needing tremendous iteration and long time to match. In this paper, we explore the self-similarity inside the image itself, and propose a new combined self-similarity superresolution(SR)solution, with low computation cost and high recover performance. In the self-similarity image super resolution model(SSIR), a small size sparse dictionary is learned from the image itself by the methods such asKSVD. The most similar patch is searched and specially combined during the sparse regulation iteration. Detailed information, such as edge sharpness, is preserved more faithfully and clearly. Experiment results confirm the effectiveness and efficiency of this double self-learning method in the image super resolution.

SZ-GESA

2020 ◽  
Vol 13 (2) ◽  
pp. 1-23
Author(s):  
Benyagoub Mohamed ◽  
Saadi Slami ◽  
Hafaifa Ahmed
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Geometric Approach ◽  
The Self ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Integrated Development ◽  
Development Policies ◽  
Mobile Wireless Sensor

In this article, advanced tools are provided to steppe specialists to guide them in choosing the integrated development policies for steppe and pastoral zones. To this end, the use of adapted mobile wireless sensor networks (WSN) is proposed. Thus, a distributed and localized protocol dealing with the self-deployment problem resulting from mobile sensor random deployment is presented, on a steppe rangeland. This scheme entirely based on a geometric approach dealing with geodesy and steppe zones characteristics, allows mobile sensors moving to optimal positions on these study rangelands. The Geodesic Efficient Self-Deployment Algorithm in Steppe Zones (sz-GESA), so called, in its approach to solve the self-deployment problem for a given geographical rangelands type, showed during simulations a great robustness for the WSN adapted to this kind of zones by allowing optimization of the coverage and to idealize the connectivity. Obtained results are very encouraging and let us think for more research enhancing this developed system more efficiently.

Application of Self-Healing in Wireless Sensor Network

2016 ◽  
pp. 217-233
Author(s):  
Noor Zaman ◽  
Low Tang Jung ◽  
Vasaki Ponnusamy
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Research Area ◽  
The Self ◽  
Wireless Sensor ◽  
Future Research ◽  
Self Healing ◽  
Biologically Inspired ◽  
Energy Aspect ◽  
Behavior Systems

Wireless Sensor Networks (WSNs) are gaining popularity in many monitoring and event detection areas. But the limitation of low power sensors needs to be further researched to combat the self-healing aspect of sensor networks. Therefore this paper aims to present a survey on application of self-healing routing protocols in wireless sensor networks that have been designed by analyzing their operation, advantages and disadvantages. This presents an outline of each application of the protocol and an idea of how these features could be adapted into future research area in self-healing wireless sensor networks in terms of energy aspect. The self-healing characteristics are mainly derived from biologically-inspired mechanisms for autonomic behavior. Autonomic behavior systems are characterized into four functional systems as self-configuration, self-healing, self-optimization and self-protection. This survey mainly focuses on self-healing characteristics from the biologically-inspired perspectives as well as non-bio-inspired perspectives.

Application of Self-Healing in Wireless Sensor Network

2020 ◽  
pp. 1601-1618
Author(s):  
Noor Zaman ◽  
Low Tang Jung ◽  
Vasaki Ponnusamy
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Research Area ◽  
The Self ◽  
Wireless Sensor ◽  
Future Research ◽  
Self Healing ◽  
Biologically Inspired ◽  
Energy Aspect ◽  
Behavior Systems

Wireless Sensor Networks (WSNs) are gaining popularity in many monitoring and event detection areas. But the limitation of low power sensors needs to be further researched to combat the self-healing aspect of sensor networks. Therefore this paper aims to present a survey on application of self-healing routing protocols in wireless sensor networks that have been designed by analyzing their operation, advantages and disadvantages. This presents an outline of each application of the protocol and an idea of how these features could be adapted into future research area in self-healing wireless sensor networks in terms of energy aspect. The self-healing characteristics are mainly derived from biologically-inspired mechanisms for autonomic behavior. Autonomic behavior systems are characterized into four functional systems as self-configuration, self-healing, self-optimization and self-protection. This survey mainly focuses on self-healing characteristics from the biologically-inspired perspectives as well as non-bio-inspired perspectives.

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