Random Network Coding in Wireless Sensor Networks: Energy Efficiency via Cross-Layer Approach

2008 ◽  
Author(s):  
D. Platz ◽  
D.H. Woldegebreal ◽  
H. Karl
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Random Network ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Random Network Coding

scholarly journals Energy Efficient Cross-Layer Transmission Model for Mobile Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xin Yang ◽  
Ling Wang ◽  
Jian Xie
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Transmission Model ◽  
Cross Layer ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Networks ◽  
Mobile Wireless Sensor

The performance of mobile wireless sensor networks (MWSN) witnessed a significant improvement in recent years, such as throughput, transmission delay, and collision detection. However, MWSN still suffers from high energy consumption, since most of the sensors or users in MWSN are based on passive devices. In order to remedy this problem, in this paper we present a Cross-layer Energy Efficiency (CEE) model for MWSN. CEE is a cross-layer model which contains three layers. It utilizes nodes location information in network layer, medium access control (MAC) protocol in MAC layer (sublayer of data link layer), and full-duplex interfaces in physical (PHY) layer. The CEE model offers a number of advantages in regard to energy efficiency, throughput improvement, low delay, and power control compared to existing models. According to the performance evaluation, the proposed transmission model effectively reduces energy consumption and improves other transmission performances. Also, it has been proved that the proposed model can be used in practical MWSN as Internet of things (IoT).

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