Energy Efficient Range-Free Localization Algorithm for Wireless Sensor Networks

Goyat, Rekha; Kumar, Mritunjay; Kumar, Gulshan; Saha, Rahul; Kim, Tai-hoon

doi:10.3390/s19163603

Cited by 16 publications

(11 citation statements)

References 67 publications

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“…So, the exact localization of sensor nodes turns out to be a principal concern for investigators of WSNs. Though sensor nodes' manual disposition is simple and easy, it is impossible for distant and large-scale dispositions [11]. Sensor nodes do not stay in a similar location over time due to passive node flexibility, and therefore, it is hard to organize secure anchor nodes underwater.…”

Section: Fig 1 Uwsn Node Localization Architecturementioning

confidence: 99%

“…localization fault. Goyat et al [11] have presented an energy-efficient localization procedure, and the method is proficient in three stages. Initially, the beacon nodes determine their one-hop neighbour nodes with further tone demands and response packets over the MAC layer to evade packets' impact.…”

Section: Surface-sinkmentioning

confidence: 99%

“…Efficient Range-Free Localization Algorithm (EERLA) [11] and Mobile Target Localization, based on Iterative Tracing (ITMTL) [20] scheme, are used to assess the effectiveness of the proposed method. For this, a varying number of sensor nodes are taken as 25, 50, 75, 100 and 125 in the area of 1000m x 1000m x 100 m. The system is simulated for 100 seconds.…”

Section: Simulation Parametersmentioning

confidence: 99%

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Energy Efficient Localization Through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

Nain

Goyal

2021

Wireless Pers Commun

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The long propagation delay of sensor nodes' messages and flexibility are the mobile target localization scheme's principal tasks in Underwater Wireless Sensor Network (UWSN). As propagation delay is one of the principal aspects, disturbing the time harmonisation of underwater sensor nodes, a long-lasting delay must be assessed and adjusted to attain precise localization. In this article, we suggest an energy-efficient localization scheme based on Mobility and Propagation delay prediction. The system model comprises Surface buoys that drift on the water surface, Anchor nodes which drift at various water depths and Ordinary nodes that are extensively disseminated at different profundity. Anchor node mobility prediction procedure is intended to analyze and record its speed at every localization period. Then, the propagation delay is expected and compensated to attain precise localization.The ordinary nodes make localization, utilizing the expected speed vectors got from the anchor nodes. The replicating outcomes, exhibit that the suggested method increases overall energy efficiency.

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Section: Fig 1 Uwsn Node Localization Architecturementioning

confidence: 99%

Section: Surface-sinkmentioning

confidence: 99%

Section: Simulation Parametersmentioning

confidence: 99%

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Energy Efficient Localization Through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

Nain

Goyal

2021

Wireless Pers Commun

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“…Efficient Range-Free Localization Algorithm (EERLA) [11] and The other simulation settings and parameters are tabulated in Table 2.…”

Section: Simulation Parametersmentioning

confidence: 99%

“…fault. Goyat et al[11] have presented an energy-efficient localization procedure, and the method is proficient in three stages. Initially, the beacon nodes determine their one-hop neighbour nodes with further tone demands and response packets over the MAC layer to evade packets' impact.…”

mentioning

confidence: 99%

Energy Efficient Localization through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

Nain

Goyal

2021

Preprint

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The long propagation delay of sensor nodes' messages and flexibility are the mobile target localization scheme's principal tasks in Underwater Wireless Sensor Network (UWSN). As propagation delay is one of the principal aspects, disturbing the time harmonisation of underwater sensor nodes, a long-lasting delay must be assessed and adjusted to attain precise localization. In this article, we suggest an energy-efficient localization scheme based on Mobility and Propagation delay prediction. The system model comprises Surface buoys that drift on the water surface, Anchor nodes which drift at various water depths and Ordinary nodes that are extensively disseminated at different profundity. Anchor node mobility prediction procedure is intended to analyze and record its speed at every localization period. Then, the propagation delay is expected and compensated to attain precise localization. The ordinary nodes make localization, utilizing the expected speed vectors got from the anchor nodes. The replicating outcomes, exhibit that the suggested method increases overall energy efficiency.

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A survey on node localization technologies in UWSNs: Potential solutions, recent advancements, and future directions

Nain,

Goyal,

Dhurandher

et al. 2024

Int J Communication

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SummaryLocation‐based underwater communication applications such as strategic surveillance, disaster prevention, marine research, and mine detection have given the field of underwater wireless sensor networks (UWSN) a head start. Node localization is a prerequisite for accurate data collection, target monitoring, and network management in UWSNs. However, the unique characteristics of the underwater environment, such as signal attenuation, multipath propagation, and variable acoustic properties, pose a major challenge to effective node localization. Accurate sensor node location data is essential for successful underwater data collection, but difficult to achieve as the GPS system cannot be used in an underwater environment. In this paper, existing node localization techniques such as ALS, SLUM, MASL, SLMP, UDB, USP, etc., and recent advances such as the fusion of range‐based and range‐free techniques, the fusion of RSSI and AoA to improve localization accuracy by using directional information in addition to signal strength, and the use of optimization techniques such as PSO, COA, and WOA algorithms to improve the accuracy of the applied node localization algorithm, e.g., TP‐TSFLA, and challenges related to UWSN are discussed. Also, different localization algorithms that affect the accuracy of UWSN localization techniques have been evaluated and compared with NS2 in terms of localization error, localization coverage, energy consumption, and average communication cost metrics. In addition, this paper also provides an up‐to‐date investigation of localization techniques. Finally, the tools available for simulation are presented, followed by open research questions that need to be addressed in the localization of nodes.

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Energy Efficient Range-Free Localization Algorithm for Wireless Sensor Networks

Cited by 16 publications

References 67 publications

Energy Efficient Localization Through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

Energy Efficient Localization Through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

Energy Efficient Localization through Node Mobility and Propagation Delay Prediction in Underwater Wireless Sensor Network

A survey on node localization technologies in UWSNs: Potential solutions, recent advancements, and future directions

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