TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks

Lin, Chi; Zhou, Jingzhe; Guo, Chunyang; Song, Houbing; Wu, Guowei; Obaidat, Mohammad S.

doi:10.1109/tmc.2017.2703094

Cited by 192 publications

(77 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If there are nodes coming in and out, the base station will update its network topology structure. Dynamic TSP algorithm improves charging efficiency and reduces the path length, and the communication overhead is high . Madhja et al divided the network into several rectangles, each of which is taken care of by one WCV.…”

Section: Related Workmentioning

confidence: 99%

“…Dynamic TSP algorithm improves charging efficiency and reduces the path length, and the communication overhead is high. 10,39 Madhja et al 40 divided the network into several rectangles, each of which is taken care of by one WCV. In the initialization, each sensor node sends a message containing its ID and location to the responsible WCV, and the WCV will calculate a shortest loop to patrol the rectangle area.…”

Section: Related Workmentioning

confidence: 99%

“…In static charging model, redundant sensor nodes are made dormant and sensor nodes cooperate with each other to extend network lifetime. In single and multiple WCV charging algorithms, WCVs can charge sensor nodes periodically or cooperatively …”

Section: Introductionmentioning

confidence: 99%

“…In single and multiple WCV charging algorithms, WCVs can charge sensor nodes periodically or cooperatively. 10,11 Despite those numerous various schemes, they still suffer from the following disadvantages.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Prolonging lifetime for wireless rechargeable sensor networks through sleeping and charging scheduling

Wang

Lin

et al. 2020

Int J Communication

Self Cite

View full text Add to dashboard Cite

Summary Prolonging network lifetime is a fundamental requirement in wireless sensor network (WSN). Existing charging scheduling algorithms suffer from high node redundancy and energy consumption issues. In this paper, we study WSN charging problem from the perspectives of energy conservation combined with energy replenishment scheduling. Firstly, we detect the redundant nodes whose energy is wasted in the network functionality and develop a K‐covering redundant nodes sleeping scheduling algorithm (KRSS) for reducing energy. Secondly, we employed multiple wireless charging vehicles (WCVs) for energy replenishment and optimize the charging scheduling algorithm to prevent any exhaustion of nodes, and we proposed a distance and energy–oriented charging scheduling algorithm (DECS) with multiple WCVs. Simulation experiments are conducted to show the advantages of the proposed KRSS+DECS, confirming that our scheme is capable of removing redundant nodes, lowering node failures, and prolonging network lifetime.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Prolonging lifetime for wireless rechargeable sensor networks through sleeping and charging scheduling

Wang

Lin

et al. 2020

Int J Communication

Self Cite

View full text Add to dashboard Cite

show abstract

“…A double warning thresholds with double preemption (DWDP) charging scheme is proposed in [16], in which double thresholds are used to adjust charging priorities of different sensors, so as to improve the charging throughput of the network and charging efficiency of WCV. In [17], sensor nodes with charging requirements are firstly screened out, and those with low residual energy will be given priority to charge. After determining the charging sequence, the charging path is planned to extend the total charging time by reducing the moving time, so as to supplement more energy for the network.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Energy Balanced Routing Strategy for Wireless Rechargeable Sensor Networks

et al. 2019

View full text Add to dashboard Cite

The network lifetime of wireless rechargeable sensor network (WRSN) is commonly extended through routing strategy or wireless charging technology. In this paper, we propose an optimization algorithm from the aspects of both charging and routing process. To balance the network energy in charging part, node’s charging efficiency is balanced by dynamically planning charging point positions and the charging time is allocated according to the energy consumption rate of nodes. Moreover, the routing method is adapted to the node’s charging efficiency. The adaptive routing strategy assigns more forwarding tasks to nodes that can get more energy during the charging phase, and makes the data packets transmit farther away, thus reducing the average hops and energy consumption of the network. Finally, the simulation results reveal that the proposed algorithm has certain advantages in prolonging the network lifetime, reducing the average hop counts and balancing the energy of each node.

show abstract

Trajectory tracking and recovery attacks in VANET systems

Wang

Cui

2018

Int J Communication

View full text Add to dashboard Cite

Summary Investigating the mechanisms of various attacks in vehicular ad hoc networks (VANETs) provides fundamental basis to develop safeguard techniques for network security issues. As they develops, attacking strategies are also needed to be established for people to learn how to defend. Previous works failed to consider multiple victims recovery and minimum road side units (RSUs) deployment issues. In this paper, we approach the attacking strategy from an adversarial point of view and develop a trajectory tracking and recovering attack based on matrix completion (TTRA). By randomly sampling locations of vehicles, TTRA is capable of recovering locations of any user with tolerable deviation. After that, the problem of how to minimize the number of RSUs while tracking all vehicles in the whole region is also considered by converting this problem into set covering problem. A heuristic algorithm based on hierarchical clustering is proposed accordingly. To the best of our knowledge, this is the first attempt of recovering mobile users' trajectories by applying these novel techniques. Finally, simulation analysis is used to show the performance of the proposed scheme. Simulation results demonstrate the merits of the scheme in terms of tracking results, location error, and influences of sampling ratio, among others.

show abstract

TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks

Cited by 192 publications

References 28 publications

Prolonging lifetime for wireless rechargeable sensor networks through sleeping and charging scheduling

Prolonging lifetime for wireless rechargeable sensor networks through sleeping and charging scheduling

Adaptive Energy Balanced Routing Strategy for Wireless Rechargeable Sensor Networks

Trajectory tracking and recovery attacks in VANET systems

Contact Info

Product

Resources

About