A Review on Renewable Energy Sources, Battery Replenishment Strategies, and Application-Specific Energy Challenges of Wireless Sensor Networks

Author(s):  
Faiz Khan ◽  
Mubashir Rehmani ◽  
Fayaz Akhtar
Sensor Review ◽  
2014 ◽  
Vol 34 (4) ◽  
pp. 374-381 ◽  
Author(s):  
Amjad Abu-Baker ◽  
Hong Huang ◽  
Satyajayant Misra

Purpose – The purpose of this paper is to investigate conditional and unconditional lifetime sequence of wireless sensor networks (WSN) that have many important practical applications. A significant limitation for WSN is its short lifetime due to the limited capacity of the battery. Renewable energy can significantly extend the lifetime of WSN. In this paper, we investigate the whole sequence of lifetimes of every sensor in WSN, as different application scenarios have different requirement on how many sensors can die until the WSN is no longer functional. Design/methodology/approach – Linear programming formulation was used to investigate both the conditional and unconditional lifetime sequence of WSN. The lifetime sequences of WSN without and with differ levels of solar power were studied. Findings – This investigation of lifetime sequences discovered three interesting phenomena: the sensors that die first are on the peripheral of the network, rather close to the base station; multiple sensors tend to die simultaneously; and the lifetimes of sensors that die later can be extended by renewable energy much more significantly than those that die early, which is very good news to applications that can tolerate the death of a fraction of sensors. Originality/value – In this paper, the first optimization formulation for maximizing both unconditional and conditional lifetime sequences of WSNs with renewable energy sources was provided. Only the conditional lifetime sequence has been investigated in a previous work, but this method runs n-times faster than the previous work, with n being the number of nodes in the WSN.


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.


Author(s):  
Amjad Abu-Baker ◽  
Hong Huang ◽  
Eric Johnson ◽  
Satyajayant Misra ◽  
Rafael Asorey-Cacheda ◽  
...  

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