On precise path planning algorithm in wireless sensor network

Javed, Farhanda; Khan, Samiullah; Khan, Akhtar Naeem; Javed, Alweena; Tariq, Rohi; Matiullah,; Khan, Faheem

doi:10.1177/1550147718783385

Cited by 23 publications

(16 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is some exception such as SLMAT model, which upon detection of obstacles modifies the MA node's path in order to avoid obstacles. The mobility‐assisted localization scheme employing random mobility model such as random‐way point is shown to perform better than static path planning models in terms of localization accuracy and energy consumption for medium and dense deployed node scenarios …”

Section: Literature Surveymentioning

confidence: 99%

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

Nagaraju

Sreejith

Gudino

et al. 2019

Int J Communication

View full text Add to dashboard Cite

In common practice, sensor nodes are randomly deployed in wireless sensor network (WSN); hence, location information of sensor node is crucial in WSN applications. Localization of sensor nodes performed using a fast area exploration mechanism facilitates precise location-based sensing and communication. In the proposed localization scheme, the mobile anchor (MA) nodes integrated with localization and directional antenna modules are employed to assist in localizing the static nodes. The use of directional antennas evades trilateration or multilateration techniques for localizing static nodes thereby resulting in lower communication and computational overhead. To facilitate faster area coverage, in this paper, we propose a hybrid of max-gain and cost-utility-based frontier (HMF) area exploration method for MA node's mobility. The simulations for the proposed HMF area exploration-based localization scheme are carried out in the Cooja simulator. The paper also proposes additional enhancements to the Cooja simulator to provide directional and sectored antenna support. This additional support allows the user with the flexibility to feed radiation pattern of any antenna obtained either from simulated data of the antenna design simulator, ie, high frequency structure simulator (HFSS) or measured data of the vector network analyzer (VNA). The simulation results show that the proposed localization scheme exhibits minimal delay, energy consumption, and communication overhead compared with other area exploration-based localization schemes. The proof of concept for the proposed localization scheme is implemented using Berkeley motes and customized MA nodes mounted with indigenously designed radio frequency (RF) switch feed network and sectored antenna.KEYWORDS area exploration, directional antennas, localization, mobile anchor node, wireless sensor networks INTRODUCTIONThe wireless sensor network (WSN) is a collection of sensor nodes that perform different functionalities such as sensing, processing, and transmitting the data to the base station via multiple hops. WSN faces several challenges such as deployment, localization, and connectivity. The deployment strategy in WSN is classified as structured deployment and Int J Commun Syst. 2020;33:e4220.wileyonlinelibrary.com/journal/dac

show abstract

Section: Literature Surveymentioning

confidence: 99%

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

Nagaraju

Sreejith

Gudino

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Honeycomb and Hexagonal networks [1] have been widely studied in various research domains, such as wireless sensor networks, wireless networks [2][3][4][5][6] and cellular networks, in order to study and analyze various issues like routing, [7][8][9] location management and target tracking [10][11][12], energy conservation [13][14][15], and interference estimation [16]. These networks and application domains are applicable to the IoT as well [17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT

Abbas¹,

Raza²,

Siddiqui³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

Wireless Sensor Network (WSN) is considered to be one of the fundamental technologies employed in the Internet of things (IoT); hence, enabling diverse applications for carrying out real-time observations. Robot navigation in such networks was the main motivation for the introduction of the concept of landmarks. A robot can identify its own location by sending signals to obtain the distances between itself and the landmarks. Considering networks to be a type of graph, this concept was redefined as metric dimension of a graph which is the minimum number of nodes needed to identify all the nodes of the graph. This idea was extended to the concept of edge metric dimension of a graph G, which is the minimum number of nodes needed in a graph to uniquely identify each edge of the network. Regular plane networks can be easily constructed by repeating regular polygons. This design is of extreme importance as it yields high overall performance; hence, it can be used in various networking and IoT domains. The honeycomb and the hexagonal networks are two such popular mesh-derived parallel networks. In this paper, it is proved that the minimum landmarks required for the honeycomb network HC(n), and the hexagonal network HX (n) are 3 and 6 respectively. The bounds for the landmarks required for the hex-derived network HDN1(n) are also proposed.

show abstract

“…Coupling the IoT [ 4 , 5 ] wireless network [ 6 , 7 ], mobile ad hoc network [ 8 , 9 , 10 , 11 ], and context-aware computing enables modern-day museums to provide more interactive and efficient ways of understanding CH through tangible and intangible objects. The tangible objects include archaeological sites, natural environment, and artifacts.…”

Section: Introductionmentioning

confidence: 99%

An IoT-Enabled Information System for Smart Navigation in Museums

Khan

Rahman

Faisal

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) is a new paradigm that connects objects to provide seamless communication and contextual information to anyone, anywhere, at any time (AAA). These Internet-of-Things-enabled automated objects interact with visitors to present a variety of information during museum navigation and exploration. In this article, a smart navigation and information system (SNIS) prototype for museum navigation and exploration is developed, which delivers an interactive and more exciting museum exploration experience based on the visitor’s personal presence. The objects inside a museum share the information that assist and navigate the visitors about the different sections and objects of the museum. The system was deployed inside Chakdara Museum and experimented with 381 users to achieve the results. For results, different users marked the proposed system in terms of parameters such as interesting, reality, ease of use, satisfaction, usefulness, and user friendly. Of these 381 users, 201 marked the system as most interesting, 138 marked most realistic, 121 marked it as easy-in-use, 219 marked it useful, and 210 marked it as user friendly. These statistics prove the efficiency of SNIS and its usefulness in smart cultural heritage, including smart museums, exhibitions and cultural sites.

show abstract

On precise path planning algorithm in wireless sensor network

Cited by 23 publications

References 52 publications

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

Hybrid area exploration–based mobility‐assisted localization with sectored antenna in wireless sensor networks

Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT

An IoT-Enabled Information System for Smart Navigation in Museums

Contact Info

Product

Resources

About