Continuous object tracking protocol with selective wakeup based on practical boundary prediction in wireless sensor networks

Oh, Seungmin; Cho, Hyunchong; Kim, Sang-Ha; Lee, Wanseop; Lee, Euisin

doi:10.1016/j.comnet.2019.07.010

Cited by 12 publications

(4 citation statements)

References 16 publications

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“…For example, through coordinate (1,2) of the source node and coordinate (10,20) of the destination node, the proposed scheme can obtain a straight-line equation 2x − y = 0. After that, in this example, when a node that finishes face routing has a coordinate (5,5), the proposed scheme can find that the length of the perpendicular line is √ 5 and that the coordinate of the foot of the perpendicular line is (3,6). Based on this example, using the Euclidean distance formula, when the proposed scheme calculates a horizontal vertex coordinate, it can obtain two coordinates-one is (2,4) and the other is (4,8).…”

Section: Marking Process In a Hole Areamentioning

confidence: 99%

“…Wireless Sensor Networks (WSNs) exploit millions of sensor devices that collect sensing data from their sensors and transmit these data to a sink for analysis [1][2][3][4][5][6][7]. WSNs do not use all network topology information, but exploit local information in the one-hop range due to the characteristics of sensor devices with limited resources.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient and Disjoint Multipath Using Face Routing in Wireless Sensor Networks

Cho

Shin

et al. 2021

Energies

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In WSNs, multipath is well-known as a method to improve the reliability of packet delivery by making multiple routes from a source node to a destination node. To improve reliability and load-balancing, it is important to ensure that disjoint characteristics of multipath do not use same nodes during path generation. However, when multipath studies encounter a hole area from which is hard to transmit data packets, they have a problem with breaking the disjoint features of multipath. Although existing studies propose various strategies to bypass hole areas, they have side effects that significantly accelerate energy consumption and packet transmission delay. Therefore, to retain the disjoint feature of multipath, we propose a new scheme that can reduce delay and energy consumption for a node near a hole area using two approaches—global joint avoidance and local avoidance. This scheme uses global joint avoidance to generate a new path centered on a hole area and effectively bypasses the hole area. This scheme also uses local joint avoidance that does not select the same nodes during new path generation using a marking process. In simulations, the proposed scheme has an average 30% improvement in terms of average energy consumption and delay time compared to other studies.

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Section: Marking Process In a Hole Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Efficient and Disjoint Multipath Using Face Routing in Wireless Sensor Networks

Cho

Shin

et al. 2021

Energies

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“…GAS [38] and COTS [39] similarly construct proactive virtual clusters which means a grid structure calculated with only location information. Each sensor node could know its own cluster by calculation with its own location, a reference point, and a cluster size without communication among sensor nodes.…”

Section: Phase Ii: Integrationmentioning

confidence: 99%

“…Therefore, TG-COD, TGM-COT, GAS, and COTS do not suffer from communication overhead for cluster construction and maintenance. Figure 4 and Table 2 TG-COD [30] CODA [34] GAS [38] COTS [39] PRECO [35] EUCOW [27] / PM-COT [32] COBOM [26] MCHD [40] BFA [37] FPOD [36] BTS-COT [33] / TPE-FTED [29] TGM-COT [31] DeGas [7] / GLDS [28] BRTCO [6] [25] COBOM [26], EUCOW [34], PRECO [35], FPOD [36], BTS-COT [33], PM-COT [32], TPE-FTED [29] CODA [34], GAS [38], COTS [39], BRTCO [6] TG-COD [30], MCHD [40], BFA [37], TGM-COT [31], DeGas [7], GLDS [28] # Dual prediction techniques that are proposed for abbreviation in IMO monitoring are not studied yet in LFO monitoring. Dual prediction for LFO monitoring is much more complex than that for IMO monitoring since it has to predict the next boundary shape not the next point.…”

Section: Phase Ii: Integrationmentioning

confidence: 99%

Large-Scale Object Monitoring in Internet-of-Things: Energy-Efficient Perspectives

Yim

Lee

2021

Electronics

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Recently, the demand for monitoring a certain object covering large and dynamic scopes such as wildfires, glaciers, and radioactive contaminations, called large-scale fluid objects (LFOs), is coming to the fore due to disasters and catastrophes that lately happened. This article provides an analytic comparison of such LFOs and typical individual mobile objects (IMOs), namely animals, humans, vehicles, etc., to figure out inherent characteristics of LFOs. Since energy-efficient monitoring of IMOs has been intensively researched so far, but such inherent properties of LFOs hinder the direct adaptation of legacy technologies for IMOs, this article surveys technological evolution and advances of LFOs along with ones of IMOs. Based on the communication cost perspective correlated to energy efficiency, three technological phases, namely concentration, integration, and abbreviation, are defined in this article. By reviewing various methods and strategies employed by existing works with the three phases, this article concludes that LFO monitoring should achieve not only decoupling from node density and network structure but also trading off quantitative reduction against qualitative loss as architectural principles of energy-efficient communication to break through inherent properties of LFOs. Future research challenges related to this topic are also discussed.

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A novel prediction model for mobility tracing of users with hybrid metaheuristic concept

Ajinu¹,

Maheswaran

2021

Wireless Netw

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Continuous object tracking protocol with selective wakeup based on practical boundary prediction in wireless sensor networks

Cited by 12 publications

References 16 publications

Energy-Efficient and Disjoint Multipath Using Face Routing in Wireless Sensor Networks

Energy-Efficient and Disjoint Multipath Using Face Routing in Wireless Sensor Networks

Large-Scale Object Monitoring in Internet-of-Things: Energy-Efficient Perspectives

A novel prediction model for mobility tracing of users with hybrid metaheuristic concept

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