SolarCastalia: Solar Energy Harvesting Wireless Sensor Network Simulator

Yi, Jun; Kang, Min Jae; Noh, Dong Kun

doi:10.1155/2015/415174

Cited by 25 publications

(18 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Network Simulator is a USN simulator based on Castalia which uses solar energy as the energy source. It provides high energy density, high conversion efficiency, and periodicity (Yi et al, 2014). 17.…”

Section: Solarcastalia or Solar Energy Harvesting Wireless Sensormentioning

confidence: 99%

Ubiquitous sensor network simulation and emulation environments: A survey

Sharif

Sadeghi‐Niaraki

2017

Journal of Network and Computer Applications

View full text Add to dashboard Cite

Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitous computing technology is introduced to provide all users with any service, anytime, anywhere, with any device, and under any network. However, high cost, long time consumption, extensive effort, and in some cases irrevocability are the main challenges and difficulties for developing ubiquitous systems. Therefore, one solution is to initially simulate, analyze, and validate practices prior to deploying sensing and computational devices in the real world. Simulation, as a performance evaluation technique, has attracted attentions due to its speed, cost-effectiveness, repeatability, scalability, flexibility, and ease of implementation. Moreover, emulation, as a hybrid method, not only offers most simulation advantages but also benefits from tight control of implementation, as well as a certain degree of realistic results. Both simulators and emulators are significant tools for enhancing the understanding of ubiquitous sensor networks (USNs) through testing and analyzing several scenarios prior to actual sensor placements. In this regard, this paper surveys 130 simulation and emulation environments and frameworks, which were originally designed and adapted for USN. Of these 130, the 22 that have been widely used, regularly updated, and well supported by their developers are compared based on multifarious criteria. Finally, several studies that had favorably compared the performance of simulators and/or emulators are examined. We believe the present research findings will be helpful for students and researchers to pick an appropriate simulator/emulator, and for software developers and those who are keen on producing their own environment.

show abstract

Section: Solarcastalia or Solar Energy Harvesting Wireless Sensormentioning

confidence: 99%

Ubiquitous sensor network simulation and emulation environments: A survey

Sharif

Sadeghi‐Niaraki

2017

Journal of Network and Computer Applications

View full text Add to dashboard Cite

show abstract

“…We used SolarCastalia [ 47 ] to compare the performance of our scheme with others: (1) no data aggregation and compression (Naive); (2) aggregating data at regular intervals (Aggr-time); (3) aggregating a regular amount of data (Aggr-size); (4) compressing aggregated data at regular intervals (Comp-time); and (5) compressing a regular amount of aggregated data (Comp-size). We used the average residual energy in a node, the number of black-out nodes, and the amount of data arriving at the sink node as measures of performance.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The simulated WSN consisted of 100 energy-harvesting nodes and one sink node, placed at random positions. The amount of energy harvested by the nodes was modeled by measured data [ 47 ], and S-LZW [ 28 ] was used as the compression algorithm. At the beginning of every round, each node determines its mode using the algorithm described in Section 3.2 , and finds a routes to the sink node using the minimum depth tree (MDT) algorithm.…”

Section: Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Data Aggregation and Compression to Improve Energy Utilization in Solar-Powered Wireless Sensor Networks

Yoon

Kim

Noh

2017

Sensors

View full text Add to dashboard Cite

A node in a solar-powered wireless sensor network (WSN) collects energy when the sun shines and stores it in a battery or capacitor for use when no solar power is available, in particular at night. In our scheme, each tiny node in a WSN periodically determines its energy budget, which takes into account its residual energy, and its likely acquisition and consumption. If it expects to acquire more energy than it can store, the data which has it has sensed is aggregated with data from other nodes, compressed, and transmitted. Otherwise, the node continues to sense data, but turns off its wireless communication to reduce energy consumption. We compared several schemes by simulation. Our scheme reduced the number of nodes forced to black out due to lack of energy so that more data arrives at the sink node.

show abstract

“…On the other hand, in the case of using only the symmetric-key scheme, a node consumed much less energy than the harvesting energy; thus a blackout never happened. However, most of the harvested energy could be wasted SolarCastalia [36] without being utilized, due to the limitation of battery capacity. Unlike these two cases, our ESCS controls the energy consumption rate dynamically by selecting the security scheme adaptively depending on the amount of residual energy.…”

Section: Energy Consumptionmentioning

confidence: 99%

Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks

Kim

Lee

et al. 2016

Journal of Sensors

View full text Add to dashboard Cite

Basic security of data transmission in battery-powered wireless sensor networks (WSNs) is typically achieved by symmetric-key encryption, which uses little energy; but solar-powered WSNs sometimes have sufficient energy to achieve a higher level of security through public-key encryption. However, if energy input and usage are not balanced, nodes may black out. By switching between symmetric-key and public-key encryption, based on an energy threshold, the level of security can be traded off against the urgency of energy-saving. This policy can also reduce the amount of energy used by some nodes in a WSN, since data encrypted using a public-key is simply relayed by intermediate nodes, whereas data encrypted using a symmetric-key must be decrypted and reencrypted in every node on its path. Through a simulation, we compared the use of either symmetric-key or public-key encryption alone with our scheme, which was shown to be more secure, to use energy more effectively, and to reduce the occurrence of node blackouts.

show abstract

SolarCastalia: Solar Energy Harvesting Wireless Sensor Network Simulator

Cited by 25 publications

References 16 publications

Ubiquitous sensor network simulation and emulation environments: A survey

Ubiquitous sensor network simulation and emulation environments: A survey

Adaptive Data Aggregation and Compression to Improve Energy Utilization in Solar-Powered Wireless Sensor Networks

Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks

Contact Info

Product

Resources

About