QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

Thomas, Diya; Shankaran, Rajan; Sheng, Quan Z.; Orgun, Mehmet A.; Hitchens, Michael; Masud, Mehedi; Ni, Wei; Mukhopadhyay, Subhas Chandra; Piran, Md. Jalil

doi:10.1109/access.2020.3046619

Cited by 11 publications

(7 citation statements)

References 193 publications

(175 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The future work of this current research focuses on issues related to some critical aspects of DDOS, specifically in the part where bursting the sensors network was not the issue, rather, it might be infecting the sensors with a specific attribute, for example, Thomas et al [23] draws attention to one type of DOS attack known as a "denial of sleep attack," which is defined as a type of DOS attack where the goal is to keep the target sensors awake. While this research focuses on predicting DDOS deflation of a target WSN node, future research should go on predicting infecting network's sensors to go into a "sleep" condition.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Re-Occurrences of Spoofed ACK Packets Sent to Deflate a Target Wireless Sensor Network Node by DDOS

Al-Naeem

2021

IEEE Access

View full text Add to dashboard Cite

The Wireless Sensor Network (WSN) has evolved into a new IoT scheme, and its adoption has no restrictions at present. Sadly, security has an impact on the network of wireless sensors, and Denial-of-Service (DOS) categories of attacks are security concerns. This study therefore focuses on the distributed denial of service (DDOS), especially on DDoS-PSH-ACK (ACK & PUSH ACK Flood) in WSN. An experimental analysis was developed to predict that many spoofed ACK packets were reoccurring in order to deflate the target node. In the proposed approach, several experimental scenarios for the DDOS detection function were established and implemented. The experimental analysis draws traffic flow within the several transmission sessions involving "the normal transmission within sensor nodes and cluster head", as well as the "transmission and retransmission scenarios within the sensor nodes and cluster head" at same time with different signal sizes. The main contribution of the paper is predicting DDoS attack by variability of transmission behavior with high degree accuracy. It was established that the most ideal delay between transmissions is 23 milliseconds in order to ensure that the receiving end is not overwhelmed. The result of the current study highlighted that when transmission session gets overwhelmed, that influence DDOS success.

show abstract

Section: Discussionmentioning

confidence: 99%

Prediction of Re-Occurrences of Spoofed ACK Packets Sent to Deflate a Target Wireless Sensor Network Node by DDOS

Al-Naeem

2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…An obvious solution for a wireless sensor network is to use renewable energy with a rechargeable battery [ 32 ]. The energy efficiency can also be maintained by the timing of the sensors [ 39 ]. The goal is to ensure adequate coverage even in the event of outages.…”

Section: Related Literaturementioning

confidence: 99%

Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm

Kovács

Bolemányi

Botzheim

2022

Sensors

View full text Add to dashboard Cite

This paper proposes an optimization framework for terrain large scale optical sensor placement to improve border protection. Compared to the often used, maximal coverage of an area approach, this method minimizes the undetected passages in the monitored area. Border protection is one of the most critical areas for sensor placement. Unlike traditional border protection solutions, we do not optimize for 2D but for 3D to prevent transit. Additionally, we consider both natural and built environmental coverings. The applied environmental model creates a highly inhomogeneous sensing area for sensors instead of the previously used homogeneous one. The detection of each sensor was provided by a line-of-sight model supplemented with inhomogeneous probabilities. The optimization was performed using a bacterial evolutionary algorithm. In addition to maximizing detection, minimizing the number of the applied sensors played a crucial role in design. These two cost components are built on each other hierarchically. The developed simulation framework based on ray tracing provided an excellent opportunity to optimize large areas. The presented simulation results prove the efficiency of this method. The results were evaluated by testing on a large number of intruders. Using sensors with different quantities and layouts in the tested 1×1×1 km environment, we reduced the probability of undetected intrusion to below 0.1% and increased the probability of acceptable classification to 99%.

show abstract

“…There are various research topics related to EH such as mobile charger scheduling, message broadcast, and optimal coverage [9][10][11][12][13]. In the review of literature, we mainly focused on aspects of channel capacity, transmission schemes, and power optimization in the context of EH.…”

Section: Summary Of Related Researchmentioning

confidence: 99%

“…In Liu et al [10], given a set of locations, the study endeavors to determine the minimum number of wireless sensor nodes required for good coverage. Thomas et al [11] discuss energy management techniques in WSNs focusing on node scheduling and deployment. For WSNS, Djenouri and Bagaa [12] present a study within the context of communication coverage for sustainable data delivery.…”

Section: Future Research Directionsmentioning

confidence: 99%

A Survey on Energy Harvesting Wireless Networks: Channel Capacity, Scheduling, and Transmission Power Optimization

2021

View full text Add to dashboard Cite

This paper presents a survey on energy harvesting (EH) wireless communication networks focusing on channel capacity, transmission schemes, and power optimization. While many network researchers focus on energy management policies addressing the intermittency and randomness of the EH processes, but the channel capacity, and transmission power optimization have not been fully explored yet. In this paper, we provide a review and analysis of channel capacity, offline and online transmission schemes, and power optimization from an information theory perspective. By reviewing and analyzing wireless networking literature, we found that EH is a technologically feasible and economically viable paradigm for cost-effectiveness in the design and deployment of next-generation wireless networks. Finally, we identify open research problems and future research directions in the emerging field of EH wireless networks. We expect this study to stimulate more research endeavors to build energy-efficient scalable next-generation wireless network systems.

show abstract

QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications

Cited by 11 publications

References 193 publications

Prediction of Re-Occurrences of Spoofed ACK Packets Sent to Deflate a Target Wireless Sensor Network Node by DDOS

Prediction of Re-Occurrences of Spoofed ACK Packets Sent to Deflate a Target Wireless Sensor Network Node by DDOS

Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm

A Survey on Energy Harvesting Wireless Networks: Channel Capacity, Scheduling, and Transmission Power Optimization

Contact Info

Product

Resources

About