Performance optimization of duty-cycled MAC in delay-energy constrained sensor network under uniform and nonuniform traffic generation

2016 ◽  
Vol 30 (9) ◽  
pp. e3185 ◽  
Author(s):  
Messaoud Doudou ◽  
Jose M. Barcelo-Ordinas ◽  
Djamel Djenouri ◽  
Nadjib Badache ◽  
Jorge Garcia-Vidal
Keyword(s):  
Sensor Network ◽  
Performance Optimization ◽  
Nonuniform Traffic ◽  
Traffic Generation ◽  
Energy Constrained

A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning

2019 ◽  
Vol 18 (01) ◽  
pp. 1941020
Author(s):  
S. Ananth ◽  
A. M. Kalpana ◽  
R. Vijayarajeswari
Keyword(s):  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Wireless Sensor ◽  
Software Defined Network ◽  
Mobile Nodes ◽  
Energy Constrained

Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.

Recent trend in wireless sensor network and its applications: a survey

Sensor Review ◽  
2015 ◽  
Vol 35 (2) ◽  
pp. 229-236 ◽  
Author(s):  
Poonam Prasad
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Recent Trend ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Smart Spaces ◽  
Research Papers ◽  
Content Type ◽  
Energy Constrained ◽  
Societal Problems

Purpose – This paper aims to review existing wireless sensor network (WSN) setups in various domains, focusing on affordable WSN so that it can be effectively utilised in solving the environmental problems. WSN is being explored in many applications such as home security, smart spaces, environmental monitoring, battlefield surveillance and target tracking. WSN consists of a number of tiny, low-powered, energy-constrained sensor nodes with sensing, data processing and wireless communication components. Creating a WSN setup will make the monitoring system effective and in future, it will give a roadmap for solving some common societal problems. Design/methodology/approach – Various research papers in the area of WSN have been reviewed on the basis of technologies and application on different fields. Findings – WSN was found to be the most effective solution in areas which are less explored due their hazardous nature and are difficult to reach. Originality/value – This review is based on research papers available and a recent trend in the area of WSN has been explored.

scholarly journals A REVIEW ON A HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN

2017 ◽  
Vol 16 (2) ◽  
pp. 7586-7590
Author(s):  
Amneet Kaur ◽  
Harpreet Kaur
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Hybrid Approach ◽  
Mobile Sink ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wide Range ◽  
Energy Constrained

A Wireless Sensor Network or WSN is supposed to be made up of a large number of sensors and at least one base station. The sensors are autonomous small devices with several constraints like the battery power, computation capacity, communication range and memory. They also are supplied with transceivers to gather information from its environment and pass it on up to a certain base station, where the measured parameters can be stored and available for the end user. In most cases, the sensors forming these networks are deployed randomly and left unattended to and are expected to perform their mission properly and efficiently. As a result of this random deployment, the WSN has usually varying degrees of node density along its area. Sensor networks are also energy constrained since the individual sensors, which the network is formed with, are extremely energy-constrained as well. Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization.

A Survey on Data Aggregation Attacks and Approaches in Wireless Sensor Network

2017 ◽  
Vol 7 (8) ◽  
pp. 227
Author(s):  
Ajay Singh Sikarwar ◽  
Kapil Sharma
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Data Aggregation ◽  
Physical Environment ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Internet Technologies ◽  
Energy Constrained ◽  
Save Energy

With the development of internet technologies the application of Wireless Sensor Network (WSN) has become inescapable in our physical environment. Such technology depend on the WSN to capture environmental data and transmit it through the network to the specified location or storage.  The transfer and capture of data by the WSN process, there is a challenge with research to continuous maintain the working of WSN device. To save energy in WSNs data aggregation (DA) technique is used. This could cause some security problems since false may be injected during data aggregation by data aggregator. In this paper, we present a survey that focus on data aggregation in WSN, problems in security and energy constrained in sensor networks.

scholarly journals Job Performance Optimization Method Based on Data Balance in the Wireless Sensor Networks

2017 ◽  
Vol 13 (12) ◽  
pp. 4 ◽  
Author(s):  
Ziyu Sun ◽  
Guozeng Zhao ◽  
Meng Li ◽  
Zhiguo Lv
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Performance Optimization ◽  
Large Scale ◽  
Optimization Method ◽  
Data Partitioning ◽  
Wireless Sensor ◽  
Data Skew ◽  
Transmission Phase

<p style="margin: 1em 0px;"><span style="font-family: Times New Roman; font-size: medium;">In the wireless sensor network, the representative MapReduce computing model based on data center has been widely used in large-scale data processing. In the data transmission phase, the wireless sensor network system uses the hash method to distribute data for each Reduce task based on the number of Reduce tasks. This data partitioning method based on the hash function results in non-uniform distribution of the output data in the data transmission phase and further leads to skewing of the input data in the Reduce task. Data skew will result in load imbalance in the Reduce phase and causes the system performance to degrade. In order to eliminate the data skew problem in the Reduce phase, this paper presents a load balancing method, which consists of two parts: the virtual partitioning method based on the consistent hashing and the heterogeneity-aware loads balancing (HLB) algorithm. The experimental results show that the proposed method can eliminate the data skew in the Reduce phase and distribute the load equitably for each Reduce task. In addition, the method produces less system overhead.</span></p>

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