Energy-aware geographic routing in wireless sensor networks with anchor nodes

2011 ◽  
Vol 26 (1) ◽  
pp. 100-113 ◽  
Author(s):  
Haojun Huang ◽  
Guangmin Hu ◽  
Fucai Yu
2020 ◽  
Vol 14 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Amanpreet Kaur ◽  
Padam Kumar ◽  
Govind P. Gupta

Localization problem has gained a significant attention in the field of wireless sensor networks in order to support location-based services or information such as supporting geographic routing protocols, tracking events, targets, and providing security protection techniques. A number of variants of DV-Hop-based localization algorithms have been proposed and their performance is measured in terms of localization error. In all these algorithms, while determining the location of a non-anchor node, all the anchor nodes are taken into consideration. However, if only the anchors close to the node are considered, it will be possible to reduce the localization error significantly. This paper explores the effect of the close anchors in the performance of the DV-Hop-based localization algorithms and an improvement is proposed by considering only the closest anchors. The simulation results show that considering closest anchors for estimation of the location reduces localization error significantly as compared to considering all the anchors.


2019 ◽  
Vol 26 (1) ◽  
pp. 507-519
Author(s):  
Parham Hadikhani ◽  
Mohammadreza Eslaminejad ◽  
Meysam Yari ◽  
Elmira Ashoor Mahani

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4376
Author(s):  
João Junior ◽  
Moysés Lima ◽  
Leandro Balico ◽  
Richard Pazzi ◽  
Horácio Oliveira

In wireless sensor networks (WSNs), power consumption is an important aspect when designing routing protocols. When compared to other components of a sensor node, the power required by radio transmitters is responsible for most of the consumption. One way to optimize energy consumption is by using energy-aware protocols. Such protocols take into consideration the residual energy information (i.e., remaining battery power) when making decisions, providing energy efficiency through the careful management of energy consumption. In this work, we go further and propose a new routing protocol that uses not only the residual energy information, but also the available renewable energy information from renewable energy sources such as solar cells. We then present the Renewable Energy-Based Routing (REBORN) algorithm, an energy-aware geographic routing algorithm, capable of managing both the residual and the available energy. Our results clearly show the advantages and the efficiency achieved by our REBORN algorithm when compared to other proposed energy-aware approaches.


2018 ◽  
Vol 17 (6) ◽  
pp. 1339-1352 ◽  
Author(s):  
Haojun Huang ◽  
Hao Yin ◽  
Geyong Min ◽  
Junbao Zhang ◽  
Yulei Wu ◽  
...  

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