Power-efficient topologies for wireless sensor networks with the fixed communication range

2009 ◽  
Author(s):  
Yan-liang Jin ◽  
Zhu-ming Zhang ◽  
Zhen Zhang ◽  
Xuyuan Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Power Efficient ◽  
Communication Range

Power-efficient topologies for wireless sensor networks with fixed communication range

2010 ◽  
Vol 14 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Yan-liang Jin ◽  
Hui-jun Miao ◽  
Hui Wang ◽  
Quan Ge ◽  
Yong Xiong
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Power Efficient ◽  
Communication Range

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.

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