Sink Mobility Support Scheme for Continuous Object Tracking in Wireless Sensor Networks

Kim, Cheonyong; Cho, Hyunchong; Kim, Sang-Ha

doi:10.1109/aina.2016.67

Cited by 7 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The location updates are essential for supporting sink mobility, but lead to wasting energy. Our previous work focuses on the connection the origin point to each sinks [ 15 ]. We extended the work for energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks

Kim

Cho

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

In wireless sensor networks (WSNs), detection and report of continuous object, such as forest fire and toxic gas leakage, is one of the major applications. In large-scale continuous object tracking in WSNs, there might be many source nodes simultaneously, detecting the continuous object. Each nodes reports its data to both a base station and mobile workers in the industry field. For communication between the source nodes and a mobile worker, sink location service is needed to continuously notify the location of the mobile worker. But, as the application has a large number of sources, it causes a waste of energy consumption. To address this issue, in this paper, we propose a two-phase sink location service scheme. In the first phase, the proposed scheme constructs a virtual grid structure for merging the source nodes. Then, the proposed scheme aggregates the merging points from an originated merging point as the second phase. Simulation results show that the proposed scheme is superior to other schemes in terms of energy consumption.

show abstract

Section: Introductionmentioning

confidence: 99%

An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks

Kim

Cho

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sink mobility in conventional sensor networks is known to reduce the energy consumption of the sensors, balance the workload among sensors and overcome the hot-spot effect, and prolong the lifetime of the sensor network [13][14][15][16][17][18][19][20][21]. Some applications of WSNs with mobile sinks include monitoring of agricultural areas [22], improving WSN data delay in emergency situations [23], and continuous object tracking [24]. Contributions on models for EH-WSNs are discussed below.…”

Section: Introductionmentioning

confidence: 99%

A queueing model of an energy harvesting sensor node with data buffering

2017

View full text Add to dashboard Cite

Battery lifetime is a key impediment to long-lasting low power sensor nodes and networks thereof. Energy harvesting -conversion of ambient energy into electrical energy -has emerged as a viable alternative to battery power. Indeed, the harvested energy mitigates the dependency on battery power and can be used to transmit data. However, unfair data delivery delay and energy expenditure among sensors remain important issues for such networks. We study performance of sensor networks with mobile sinks: a mobile sink moves towards the transmission range of the different static sensor nodes to collect their data. We propose and analyse a Markovian queueing system to study the impact of uncertainty in energy harvesting, energy expenditure, data acquisition and data transmission. In particular, the energy harvesting sensor node is described by a system with two queues, one queue corresponding to the battery and the other to the data buffer. We illustrate our approach by numerical examples which show that energy harvesting correlation considerably affects performance measures like the mean data delay and the effective data collection rate.

show abstract

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

Adam

Anisi

Ali

2020

Future Generation Computer Systems

View full text Add to dashboard Cite

The development of pervasive communication devices and the emergence of the Internet of Things (IoT) have acted as an essential part in the feasibility of smart city initiatives. Wireless sensor network (WSN) as a key enabling technology in IoT offers the potential for cities to get smatter. WSNs gained tremendous attention during the recent years because of their rising number of applications that enables remote monitoring and tracking in smart cities. One of the most exciting applications of WSNs in smart cities is detection, monitoring, and tracking which is referred to as object tracking sensor networks (OTSN). The adaptation of OTSN into urban cities brought new exciting challenges for reaching the goal of future smart cities. Such challenges focus primarily on problems related to active monitoring and tracking in smart cities. In this paper, we present the essential characteristics of OTSN, monitoring and tracking application used with the content of smart city. Moreover, we discussed the taxonomy of OTSN along with analysis and comparison. Furthermore, research challenges are investigated concerning energy reservation, object detection, object speed, accuracy in tracking, sensor node collaboration, data aggregation and object recovery position estimation. This review can serve as a benchmark for researchers for future development of smart cities in the context of OTSN. Lastly, we provide future research direction. Highlights One of the most interesting applications of wireless sensor networks in smart cities would be detecting and monitoring or tracking of objects based on object tracking sensor networks (OTSN).  The review delineates the advantages as well as the weakness of existing OTSN and conduct a comparative view.  Furthermore, research challenges in OTSNs and existing methods are investigated with a focal point of energy constraints, object detection, object speed, tracking accuracy, sensor node collaboration, data aggregation and object recovery position estimation in WSN and smart cities.  Open research issues that required further improvement are summarized.

show abstract

Sink Mobility Support Scheme for Continuous Object Tracking in Wireless Sensor Networks

Cited by 7 publications

References 12 publications

An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks

An Energy Efficient Sink Location Service for Continuous Objects in Wireless Sensor Networks

A queueing model of an energy harvesting sensor node with data buffering

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

Contact Info

Product

Resources

About