Distributed power-source-aware routing in wireless sensor networks

Tekkalmaz, Metin; Korpeoglu, Ibrahim

doi:10.1007/s11276-015-1040-y

Cited by 14 publications

(4 citation statements)

References 38 publications

(47 reference statements)

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“…In the scenario where the network model is uniformly distributed for N sensor nodes, Michael and Martin in [40] have deduced the upper and lower bounds of the capacity in the application case. When the number of nodes N in the network tends to infinity, the upper and lower boundaries coincide and the conclusion is that the capacity is Θðlog ðNÞÞ .…”

Section: System Simulation Analysismentioning

confidence: 99%

Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network

Song

Liu

2020

Journal of Sensors

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Compared with traditional networks, WSNs have more limited resources such as energy, communication, computing, and storage. The problem of how to achieve energy saving, extend network life cycle, and improve network performance under these limited resources has always been an issue of great interest in WSN research. However, existing protocols do not consider that sensor nodes within the BS threshold may not be clustered. These nodes can directly transmit data to the BS. This simplifies the cluster routing process of the entire WSN and saves more energy. This paper introduces an efficient, and energy-efficient, clustering and equalization routing protocol called the PSOLB-EGT protocol. This protocol introduces a new approach by combining improved particle swarm optimization (PSO) and evolutionary game theory (EGT) algorithms to address the problem of maximizing the network lifetime. The operation of the wireless sensor network is divided into an initialization phase and a data transmission phase. In the initialization phase of the wireless sensor network, the improved PSO algorithm is used to establish clusters and select CHs in areas other than the BS threshold. Entering the data transmission phase, we analyze this problem from the perspective of game theory. We use improved noncooperative evolutionary game theory to build models to solve the problem of the energy waste caused by routing congestion. The proposed PSOLB-EGT protocol is intensively experimented with a number of topologies in various network scenarios, and the results are compared with the well-known cluster-based routing protocols that include the swarm intelligence-based protocols. The obtained results prove that the proposed protocol has increased 9%, 8%, and 5% compared with the ABC-SD protocol in terms of network life, network coverage, and amount of data transmitted, respectively.

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Section: System Simulation Analysismentioning

confidence: 99%

Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network

Song

Liu

2020

Journal of Sensors

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“…So, they receive the question from the server, when they finished they submit the answer to the server and calculated there [16] [17]. …”

Section: H Lan Network (Local Area Network)mentioning

confidence: 99%

Skill Evaluation for Newly Graduated Students Via Online Test

Younis¹,

Baban²

2015

ijacsa

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Abstract-Every year in each university many students are graduated holding a first university degree. For example Bachelor degree in Computer Science. Most of those students have a motivation to continue with further studies to get higher education level degree in universities. However, some other students may have enthusiasm towards working based on their skills that they got during their life of studies in university. In both cases, it is required that applicant must pass a test that comprise the entire subject that they learned before. For this reasons, this research is proposing a new technique to evaluate graduate students skills.

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“…In recent years, the development of low-power energy supply technology for MEMS has been promoted with the wide application of microelectronic devices [1]. The power supply scheme based on vibration energy harvester has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the design and application of 3-dimensional wide-band piezoelectric energy harvester for low amplitude vibration sources

Chen

Wei

et al. 2019

Smart Mater. Struct.

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In order to realize 3-dimensional, wide-band vibration energy harvesting in low-frequency and low-amplitude environments, a multi-layer Z-type beam piezoelectric harvester structure is proposed. Nonlinear mass and instabilities of horizontal and longitudinal are introduced by the multi-layer Z-type beam structure. Simulation and experiment results show that when the number of beam layer is 7 and excitation intensity is 0.8 g, there are more than 4 voltage peaks within 5–40 Hz, the maximum voltage is above 16 V, the maximum output power can reach 180 μW, which greatly widens harvesting frequency band. When exciting in horizontal and vertical directions, the maximum voltages peaks are all above 10 V, the number of voltage peaks are all above 5, maximum output powers can reach 108 μW and 53 μW respectively, by which 3-dimensional energy harvesting is verified. Next, the performances of arrays are studied. When the arrays number is 12, excitation intensity reduces to 0.2 g, nearly 90% of the voltage response amplitudes for parallel arrays within 15–40 Hz are above 4 V, almost all the voltage response amplitudes for series arrays are above 5 V within 17–40 Hz, even response amplitudes are all above 10 V within 23–33 Hz. The maximum output power generated by parallel arrays is up to 864.5 μW. So, wide-band 3-dimensional vibration energy harvesting for low amplitude environment is realized by multi-layer Z-type vibration energy harvester. Finally, the feasibility that wireless switch could be powered by the multi-layer Z-type vibration energy harvester parallel arrays from low-frequency and low-amplitude environment is verified.

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Distributed power-source-aware routing in wireless sensor networks

Cited by 14 publications

References 38 publications

Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network

Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network

Skill Evaluation for Newly Graduated Students Via Online Test

Investigation on the design and application of 3-dimensional wide-band piezoelectric energy harvester for low amplitude vibration sources

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