Undervolting in Real World WSN Applications: A Long-Term Study

Kulau, Ulf; Rottmann, Stephan; Schildt, Sebastian; Balen, Johannes van; Wolf, Lars

doi:10.1109/dcoss.2016.15

Cited by 18 publications

(8 citation statements)

References 7 publications

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“…Then, depend on the priority DT slots are allocated to the packets. 4. If_Then_ fuzzy rules are defined for input fuzzy variables.…”

Section: Packet Prioritization Using Fuzzy Systemmentioning

confidence: 99%

“…Time effectiveness, then again, alludes to the latency of gathering information from sensors nodes to a base station. Sensor information is frequently required to be immediately assembled data and exchange effectively to the goal [3][4][5]. As medium access is the significant customer of sensor energy in WSN, Medium Access Control (MAC) assumes imperative job to guarantee the successful task of WSNs.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks

Tamilarasi*,

Santhi

2020

IJRTE

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Wireless Sensor Networks (WSNs) have increased huge consideration because of their wide scope of utilizations. In these networks, the sensor hubs gather various kinds of information from the general condition. During the transmission of collected data packets, some of them will be dropped due to the collision of packets. So, collide packets are retransmitted which may lead the network to high energy consumption. As Medium Access Control (MAC) protocol has responsible for reliable communication in WSN, an enhanced MAC protocol has to be proposed for improving energy efficiency of the network. By considering this solution, Fuzzy Based Enhanced Medium Access Control protocol (Fuzzy-MAC) is proposed in this paper. Before transmission, data packets are prioritized using the Fuzzy system. Then the packets are transmitted in light of the need of the parcels. Simulation results show that the exhibition of the proposed Fuzzy-MAC beats that of existing MAC protocols as far as energy utilization, delivery ratio and throughput.

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“…Then, depend on the priority DT slots are allocated to the packets. 4. If_Then_ fuzzy rules are defined for input fuzzy variables.…”

Section: Packet Prioritization Using Fuzzy Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks

Tamilarasi*,

Santhi

2020

IJRTE

View full text Add to dashboard Cite

show abstract

“…Here, not only the impact of communication distances on the link quality (LQ), predominantly given by the RSSI, is studied but also the effect of different meteorological factors [19,31]. In addition, the vegetation itself is reported to have a measurable effect on the attenuation of radio signal propagation in outdoor environments in more recent studies [16,24]. However, this impact is yet not comprehensively explored for frequency bands in the lower microwave spectrum (<5 GHz) as used for short-range IoT communication.…”

Section: Introductionmentioning

confidence: 99%

Towards a Low-cost RSSI-based Crop Monitoring

Bauer

Aschenbruck

2020

ACM Trans. Internet Things

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The continuous monitoring of crop growth is crucial for site-specific and sustainable farm management in the context of precision agriculture. With the help of precise in situ information, agricultural practices, such as irrigation, fertilization, and plant protection, can be dynamically adapted to the changing needs of individual sites, thereby supporting yield increases and resource optimization. Nowadays, IoT technology with networked sensors deployed in greenhouses and farmlands already contributes to in situ information. In addition to existing soil sensors for moisture or nutrient monitoring, there are also (mainly optical) sensors to assess growth developments and vital conditions of crops. This article presents a novel and complementary approach for a low-cost crop sensing that is based on temporal variations of the signal strength of low-power IoT radio communication. To this end, the relationship between crop growth, represented by the leaf area index (LAI), and the attenuation of signal propagation of low-cost radio transceivers is investigated. Real-world experiments in wheat fields show a significant correlation between LAI and received signal strength indicator (RSSI) time series. Moreover, influencing meteorological factors are identified and their effects are analyzed. Including these factors, a multiple linear model is finally developed that enables an RSSI-based LAI estimation with great potential.

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“…The rapid growth in wireless sensor networks (WSNs) like remote‐based communication, remote connections, and extraordinary internet growth has made various changes in the military and non‐military applications 1,2 . In the last decade, the WSNs had huge consideration by the scholars and industrial experts 3,4 . WSN has the capacity with limitations like communication in low bandwidth and optimal distance.…”

Section: Introductionmentioning

confidence: 99%

An optimized clustering using hybrid meta‐heuristic approach for wireless sensor networks

Rajaram¹,

Kumaratharan²

2020

Int J Communication

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SummaryPower efficiency is one of the major attributes that has to be concentrated in wireless sensor network (WSN). Efficiency in the consumption of power is achieved by clustering, routing, and balancing the load in the network. The proposed work focuses on clustering to balance the load in the network, which in turn improves the power consumption by the sensor nodes. Clustering is one of the prominent techniques in WSN where research is still going on to improve efficiency. In the proposed work, the sensor nodes are collected together for the formation of multiple groups called as clusters. Cluster heads are selected using efficient satin bower bird optimization algorithm where the weight of the node is taken as a parameter. Among all these multiple cluster heads, the highly powered cluster heads are named as chief cluster head utilizing crow search optimization. In a multihop manner, the sensor nodes sense the collected data to the cluster heads, which in turn send the aggregated data to the chief cluster heads. All the selected chief cluster heads send the collected data to the central server node. Simulation is carried out in MATLAB R2020a and the performance of the proposed heuristic‐based clustering is compared with other clustering protocols in terms of energy efficiency, throughput, and delivery ratio, and it is verified that the proposed protocol gives better results.

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Undervolting in Real World WSN Applications: A Long-Term Study

Cited by 18 publications

References 7 publications

Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks

Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks

Towards a Low-cost RSSI-based Crop Monitoring

An optimized clustering using hybrid meta‐heuristic approach for wireless sensor networks

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