A Power Efficient Routing Protocol Based on Balanced Tree in Wireless Sensor Networks

Author(s):  
Hyun-sook Kim ◽  
Ki-jun Han
Author(s):  
Mohammed Réda El Ouadi ◽  
Abderrahim Hasbi

<p>Wireless Sensor Networks is a group of sensor nodes dispatched in a geographical area for a defined objective. These sensor nodes are characterized by limited capacity of communicating, computing and especially of energy. The performance of these WSN is resting on a good routing protocol, hence the need to choose the routing protocol able to satisfy the wsn's objectives, and to satisfy the common challenge to prolong network life time.</p><p>Several routing concepts have been proposed for the WSN, hierarchical routing is one of the most used concepts. It is divided into 3 types: cluster based routing, grid based routing and chain based protocol. In this paper, we are interested to Study, analyse and compare two popular routing protocols for Wireless sensor networks (WSNs), Low-Energy Adaptive Clustering Hierarchy (LEACH) using clusters based concept and Power-Efficient Gathering in Sensor Information System (PEGASIS) with chain based concept. The both protocols are simulated with Matlab simulator, in order to evaluate its performances against the different users and the WSNs objectives defined.</p>


Author(s):  
Tareq Krishan ◽  
Rami S. Alkhawaldeh ◽  
Saed Khawaldeh ◽  
Bilal Al-Ahmad ◽  
Adnan Al Smadi

Underwater wireless sensor networks (UWSN) have recently been proposed as a way to monitor and explore the water depths' environments. Efficiently delivering the data is still a challenging problem in these networks because of the weaknesses in the acoustic transmission. To tackle such a problem, we propose a novel algorithm provides controlling mechanisms for critical long-term data forwarding underwater sensor networks, called Hop by Hop Power-Efficient Routing Protocol (Hn-PERP). The proposed Hn-PERP is a centralized full-control model that enhances the network's throughput and energy efficiency by a set of solutions depend on power monitoring in UWSN nodes. In particular, the model provides a guaranteed mechanism for scheduling and processing data transmission based on number of nodes, hops between the nodes, energy level and congestion within each node to minimize energy levels or power consumption by avoiding disconnected probability for any node, which in turn maximizing the network lifetime. Simulation results show that our proposed model is consistent with energy level and congestion, and is more accurate for enabling routing and data transmission. Therefore, the data packet delivery ratio and overall throughput also achieves robust scenarios of very sparse or/and weak networks, to keep on Performance stability in UWSN via adjusting hop-by-hop delay and energy consumption during packages delivery.


2011 ◽  
Vol 11 (2) ◽  
pp. 2348-2355 ◽  
Author(s):  
Chenn-Jung Huang ◽  
Yu-Wu Wang ◽  
Hsiu-Hui Liao ◽  
Chin-Fa Lin ◽  
Kai-Wen Hu ◽  
...  

2018 ◽  
Vol 12 (11) ◽  
pp. 186 ◽  
Author(s):  
Tareq Krishan ◽  
Rami S. Alkhawaldeh ◽  
Saed Khawaldeh ◽  
Bilal Al-Ahmad ◽  
Adnan Al Smadi

Underwater wireless sensor networks (UWSN) have recently been proposed as a way to monitor and explore the water depths&rsquo; environments. Efficiently delivering the data is still a challenging problem in these networks because of the weaknesses in the acoustic transmission. To tackle such a problem, we propose a novel algorithm provides controlling mechanisms for critical long-term data forwarding underwater sensor networks, called Hop by Hop Power-Efficient Routing Protocol (Hn-PERP). The proposed Hn-PERP is a centralized full-control model that enhances the network&rsquo;s throughput and energy efficiency by a set of solutions depend on power monitoring in UWSN nodes. In particular, the model provides a guaranteed mechanism for scheduling and processing data transmission based on number of nodes, hops between the nodes, energy level and congestion within each node to minimize energy levels or power consumption by avoiding disconnected probability for any node, which in turn maximizing the network lifetime. Simulation results show that our proposed model is consistent with energy level and congestion, and is more accurate for enabling routing and data transmission. Therefore, the data packet delivery ratio and overall throughput also achieves robust scenarios of very sparse or/and weak networks, to keep on Performance stability in UWSN via adjusting hop-by-hop delay and energy consumption during packages delivery.


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