Energy-Neutral Communication Protocol for Very Low Power Microbial Fuel Cell Based Wireless Sensor Network

Yang, Fan; Wang, Kuang-Ching; Huang, Yong

doi:10.1109/jsen.2014.2377031

Cited by 17 publications

(15 citation statements)

References 19 publications

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“…In paper [26] an optimal duty-cycle based energy-neutral communication protocol is proposed for MFC-powered WSNs. Mathematical models have been employed to minimize the probe packet reception time.…”

Section: Literature Surveymentioning

confidence: 99%

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

Sabet

Naji

2015

AEU - International Journal of Electronics and Communications

143

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Section: Literature Surveymentioning

confidence: 99%

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

Sabet

Naji

2015

AEU - International Journal of Electronics and Communications

143

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“…Above formula (7), f indicates the pseudo random number, u indicates the node u identity symbol, m k represents the main key stored in the base station, and u IK represents the individual key of node U.…”

Section: Assumption and Base Station Initializationmentioning

confidence: 99%

A Low Power Consumption Cryptography Algorithm Research for Wireless Sensor Networks

Peng¹,

Xiao²

2016

Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

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For the LEACH protocol during the process of cluster formation, only consider node its own communication cost disadvantage and security issues, through the analysis of the optimization design issues of single nodes and the network whole level of WSNs, a kind of security technology put forward to the clustering phrases proposed in this paper, and comprehensive consideration of the multi-hop improvement algorithm on node location and energy state. The simulation shows that the new algorithm save and balance energy consumption of each nodes, prolong the life cycle of the network and identify the malicious nodes based on key pre-distribution scheme and node ID information, in addition, prevent attack behavior from the beginning, which contribute to guarantee the authenticity and reliability of the message collection fundamentally, as well as enhance the survivability and robustness of the network to maximum.

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“…Therefore, proper sensor scheduling is still important and is often subject to communication power consumption and battery lifetime for sensor networked systems. Various studies have investigated scheduling techniques [8][9][10][11][12][13][14][15][16][17][18][19][20]. The effective energy-efficient methodologies can be mainly categorized into three types.…”

Section: Introductionmentioning

confidence: 99%

“…(1) Stochastic scheduling [8][9][10]: each sensor node sends data to a remote estimator according to a given probability at each time step, and an optimal probability distribution is obtained by solving an optimization problem. (2) Deterministic scheduling [11][12][13][14][15]: the sensor node activation sequence is fixed and indicates the moment in which to send data. In [11], the design and performance evaluation of a communication protocol were presented for distributed sensor systems with dynamic and limited energy.…”

Section: Introductionmentioning

confidence: 99%

“…(2) Deterministic scheduling [11][12][13][14][15]: the sensor node activation sequence is fixed and indicates the moment in which to send data. In [11], the design and performance evaluation of a communication protocol were presented for distributed sensor systems with dynamic and limited energy. (3) Eventtriggered scheduling [16][17][18][19][20]: these schedules utilize real-time measurements from selected sensors which are able to trigger an event.…”

Section: Introductionmentioning

confidence: 99%

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Distributed filtering for time-varying networked systems with sensor gain degradation and energy constraint: a centralized finite-time communication protocol scheme

Zhao

Zhou

2018

Sci. China Inf. Sci.

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This paper focuses on the distributed filtering problem for a class of time-varying networked systems with sensor gain degradation and energy constrained communication protocol. To satisfy the requirement of power consumption and reduce the schedule computing complexity, centralized cyclic finite-time communication strategy optimization is taken into account. The networked system considered in this paper consists of spatially distributed sensors linked to their neighbor sensors, where each sensor node suffers from different gain degradation, and the transmission decisions of all the communication channels obey the centralized transmission schedule strategy identically. First, we present scattered communication action based on single-sensor transmission modeling with an energy constraint. Subsequently, an optimal communication protocol considering expected average error covariance is derived between the target system and each sensor node over the distributed sensor systems, based on a centralized finite-time scheme. Finally, by transforming the overall estimation error covariance of the systems at each sampling time into quadratic form, a conditionally unbiased least-square recursive distributed filtering technique over the networked system is designed at each sensor node. The system stability condition under such an optimal schedule is also accomplished with bounded covariance. A numerical example is provided to demonstrate the utility and effectiveness of the distributed filtering technique using the proposed optimized energy constrained communication protocol.

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Energy-Neutral Communication Protocol for Very Low Power Microbial Fuel Cell Based Wireless Sensor Network

Cited by 17 publications

References 19 publications

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

A Low Power Consumption Cryptography Algorithm Research for Wireless Sensor Networks

Distributed filtering for time-varying networked systems with sensor gain degradation and energy constraint: a centralized finite-time communication protocol scheme

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