Energy-Efficient and Fast MAC Protocol in UAV-Aided Wireless Sensor Networks for Time-Critical Applications

Poudel, Sabitri; Moh, Sangman

doi:10.3390/s20092635

Cited by 26 publications

(12 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the fixed-wing UAV used in the design is not suitable for accurate positioning and generally needs a higher altitude compared to the rotary-wing UAV. Another MAC protocol for UWSNs was proposed in [23], considering fast and energy-efficient data gathering for critical situations. A survey on MAC protocols for UWSNs was proposed in [24].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient and Fast Data Collection in UAV-Aided Wireless Sensor Networks for Hilly Terrains

Nazib

Moh

2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

Energy-constrained sensor nodes are often deployed in remote, hilly, and hard-to-reach areas for civilian and military purposes. In such wireless sensor networks (WSNs), an unmanned aerial vehicle (UAV) can be used to collect data from the sensor nodes. Low-altitude UAVs can be utilized to reduce the energy consumption of WSNs by optimizing the data collection position. In this study, we designed an energy-efficient and fast data collection (EFDC) scheme in UAV-aided WSNs for hilly areas with the help of a UAV as a data mule. First, we proposed a central bias hybrid energy-efficient distributed clustering algorithm for grouping the sensors. Then, we applied a modified tabu search algorithm to optimize the UAV position for collecting data from a cluster. To achieve fast data collection, we developed the traveling salesman problem with the derived data collection positions and solved it by applying a modified genetic algorithm. Based on our simulation results, the proposed EFDC scheme outperforms the conventional ones in terms of energy consumption, scalability, control overhead, delay, and load balancing.

show abstract

Section: Related Workmentioning

confidence: 99%

“…For data packet transmission, it uses a time-division multiple access (TDMA) protocol. We kept the MAC operation similar to the MAC protocol proposed for UWSNs in [23]; however, different from that in [23], we did not consider any priority for the nodes.…”

Section: ) Mac Protocolmentioning

confidence: 99%

Energy-Efficient and Fast Data Collection in UAV-Aided Wireless Sensor Networks for Hilly Terrains

Nazib

Moh

2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…Clustering sensor nodes is crucial to lessen the network delay and avoid collision during the data collection period. Therefore, sensor nodes are clustered using the unequal clustering algorithm, as discussed in [ 43 , 44 ]. At first, sensor nodes share their head status (i.e., node identifier, residual energy, and location coordinates) to all the sensor nodes within their range.…”

Section: Formulationmentioning

confidence: 99%

“…Each sensor senses the surrounding environment and transfers information bits to the CH; subsequently, the CH aggregates and uploads data to the UAV using a hybrid medium access control (MAC), as discussed in [ 44 ]. CHs use line-of-sight (LOS) communication to transfer data to UAV.…”

Section: Formulationmentioning

confidence: 99%

Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications

Poudel

Moh

2021

Sensors

Self Cite

View full text Add to dashboard Cite

In unmanned aerial vehicle (UAV)-aided wireless sensor networks (UWSNs), a UAV is employed as a mobile sink to gather data from sensor nodes. Incorporating UAV helps prolong the network lifetime and avoid the energy-hole problem faced by sensor networks. In emergency applications, timely data collection from sensor nodes and transferal of the data to the base station (BS) is a prime requisite. The timely and safe path of UAV is one of the fundamental premises for effective UWSN operations. It is essential and challenging to identify a suitable path in an environment comprising various obstacles and to ensure that the path can efficiently reach the target point. This paper proposes a hybrid path planning (HPP) algorithm for efficient data collection by assuring the shortest collision-free path for UAV in emergency environments. In the proposed HPP scheme, the probabilistic roadmap (PRM) algorithm is used to design the shortest trajectory map and the optimized artificial bee colony (ABC) algorithm to improve different path constraints in a three-dimensional environment. Our simulation results show that the proposed HPP outperforms the PRM and conventional ABC schemes significantly in terms of flight time, energy consumption, convergence time, and flight path.

show abstract

“…Sensor-to-UAV Data Transfer: Transmitting sensing data to a UAV hovering over sensors could be a challenge [106]. Energy expenditure should be carefully considered in designing data transmitting protocol because of the limited energy of sensor nodes.…”

mentioning

confidence: 99%

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Nguyen

et al. 2021

Electronics

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

show abstract

Energy-Efficient and Fast MAC Protocol in UAV-Aided Wireless Sensor Networks for Time-Critical Applications

Cited by 26 publications

References 37 publications

Energy-Efficient and Fast Data Collection in UAV-Aided Wireless Sensor Networks for Hilly Terrains

Energy-Efficient and Fast Data Collection in UAV-Aided Wireless Sensor Networks for Hilly Terrains

Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Contact Info

Product

Resources

About