A Communication Model of Anycast in Rechargeable Wireless Sensor Networks for Forest Monitoring

2014 ◽  
Vol 11 (11) ◽  
pp. 3893-3900 ◽  
Author(s):  
Demin Gao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Forest Monitoring ◽  
Wireless Sensor ◽  
Communication Model

scholarly journals A Three-Tier Architecture of Large-Scale Wireless Sensor Networks for Big Data Collection

2020 ◽  
Vol 10 (15) ◽  
pp. 5382 ◽  
Author(s):  
Ado Adamou Abba Ari ◽  
Asside Christian Djedouboum ◽  
Abdelhak Mourad Gueroui ◽  
Ousmane Thiare ◽  
Alidou Mohamadou ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Large Scale ◽  
Smart Cities ◽  
Low Cost ◽  
Memory Storage ◽  
Wireless Sensor ◽  
Communication Model ◽  
High Loss ◽  
Technological Advances

In recent years, technological advances and the ever-increasing power of embedded systems have seen the emergence of so-called smart cities. In these cities, application needs are increasingly calling for Large-Scale Wireless Sensor Networks (LS-WSN). However, the design and implementation of such networks pose several important and interesting challenges. These low-cost, low-power devices are characterized by limited computing, memory storage, communication, and battery power capabilities. Moreover, sensors are often required to cooperate in order to route the collected data to a single central node (or sink). The many-to-one communication model that governs dense and widely deployed Wireless Sensor Networks (WSNs) most often leads to problems of network overload and congestion. Indeed, it is easy to show that the closer a node is geographical to the sink, the more data sources it has to relay. This leads to several problems including overloading of nodes close to the sink, high loss rate in the area close to the sink, and poor distribution of power consumption that directly affects the lives of these networks. In this context, we propose a contribution to the problem of LS-WSN energy consumption. We designed a hierarchical 3-tier architecture of LS-WSNs coupled with a modeling of the activities of the different sensors in the network. This architecture that is based on clustering also includes a redeployment function to maintain the topology in case of coverage gaps. The results of the performed simulations show that our architecture maximizes the lifetime than compared solutions.

Research on the Strategy of Nodes Cooperative Transmission in Wireless Sensor Networks

2013 ◽  
Vol 446-447 ◽  
pp. 1612-1616
Author(s):  
Jia Li Li ◽  
Jian Ping Luo ◽  
Yu Hao Wang ◽  
Cheng Zhi Long
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Space Time ◽  
Cooperative Transmission ◽  
Wireless Sensor ◽  
Communication Model ◽  
Space Time Coding ◽  
Maximum Ratio Combining ◽  
Transmission Strategy ◽  
Correlation Techniques

The correlation techniques of nodes cooperative transmission strategy in wireless sensor networks with virtual MIMO are presented. A communication model between clusters is proposed. From it, we can see the correlation techniques include coding, forwarding, combining and decoding. The coding is generally divided into three categories: Layered Space-Time Coding, Space-Time Trellis Coding and Space-Time Block Coding. Forwarding can be broken down into Amplifying Forwarding, Decode Forwarding, and Selecting Dynamic Relay. Select combining, equal gain combining and maximum ratio combining are the common combine methods. The decode method is maximum likelihood algorithm.

Environmental Forest Monitoring Using Wireless Sensor Networks

2016 ◽  
pp. 61-78 ◽  
Author(s):  
Mohammad Abdul Azim ◽  
Fatemeh M. Kiaie ◽  
Mohamed H. Ahmed
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Forest Monitoring ◽  
Wireless Sensor

scholarly journals A Cooperative Communication Model Tailored for Energy Balance in Wireless Sensor Networks

2017 ◽  
Vol 20 (2) ◽  
Author(s):  
Camila F. Rêgo ◽  
Rodrigo R. Bezerra ◽  
Ulisses R. Afonseca ◽  
Jacir L. Bordim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Balance ◽  
Cooperative Communication ◽  
Network Connectivity ◽  
Source Node ◽  
Wireless Sensor ◽  
Communication Model ◽  
Energy Demands ◽  
Application Requirements

Wireless Sensor Networks (WSN) are characterized by their capacity of monitoring the environment, gathering and sharing information. Nodes in a WSN usually cooperate in the task of forwarding the sensed data to a sink node for later retrieval and analysis. The success of this task depends on the availability of efficient routes that meet the application requirements. As topology may change overtime, alternatives to improve and maintain network connectivity are highly desired. In this context, Cooperative Communication (CC) emerged as an alternative to improve network connectivity. Despite its benefits, CC-links are known to have higher energy demands as compared to traditional, direct, links. In particular, CC-links require the source node to expend more power than others nodes, shortening their life span. The main contribution of this paper is to propose a new Cooperative Communication model, capable of increasing the energy balance of the CC-links while improving network connectivity. Simulation results show that, compared to other CC schemes, the source node of a Cooperative Communication reduces the amount of expended energy by 68% in the evaluated settings.

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