Path planning algorithms for mobile anchors towards range-free localization

Mondal, Kaushik; Karmakar, Arindam; Mandal, Partha Sarathi

doi:10.1016/j.jpdc.2016.06.001

Cited by 12 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data in Table 1 shows paper reviews and survey papers on mobile anchor localization from 2015-2022. A survey paper by Liang Yue et al [17] in 2015 directly explained the path-planning method on mobile anchors that had been carried out by researchers. Guang Jie Han [18] describes localization theory in general including path planning in it.…”

Section: Related Workmentioning

confidence: 99%

Research Trend Topic Area on Mobile Anchor Localization

Indah Hapsari,

Munadi,

Erfianto

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

View full text Add to dashboard Cite

Localization in a dynamic environment is one of the challenges in WSN localization involving dynamic sensor nodes or anchor nodes. Mobile anchors can be an efficient solution for the number of anchors in a 3-dimensional environment requiring more local anchors. The reliability of a localization system using mobile anchors is determined by various parameters such as energy efficiency, coverage, computational complexity, and cost. Various methods have been proposed by researchers to build a reliable mobile anchor localization system. This certainly shows the many research opportunities that can be carried out in mobile anchor localization. The many opportunities in this topic will be very confusing for researchers who want to research in this field in choosing a topic area early. However, until now there is still no paper that discusses systematic mapping studies that can provide information on topic areas and trends in the field of mobile anchor localization. A systematic Mapping Study (SMS) was conducted to determine the topic area and its trends, influential authors, and produce modeling topics and trends from the resulting modeling topics. This SMS can be a solution for researchers who are interested in research in the field of mobile anchor localization in determining the research topics they are interested in for further research. This paper gives information on the mobile anchor research area, the author who has influenced mobile anchor localization research, and the topic modeling and trend that potentially promissing research in the future. The SMS includes a chronology of publications from 2017-2022, bibliometric co-occurrence, co-author analysis, topic modeling, and trends. The results show that the development of mobile anchor localization publications is still developing until 2022. There are 10 topic models with 6 of them included in the promising topic. The results of this SMS can be used as preliminary research from the literacy stage, namely Systematic Literature Review (SLR).

show abstract

Section: Related Workmentioning

confidence: 99%

Research Trend Topic Area on Mobile Anchor Localization

Indah Hapsari,

Munadi,

Erfianto

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

View full text Add to dashboard Cite

show abstract

“…The MA is supposed to travel from the center of one hexagon to one corner of the same hexagon and the reverse procedure is applied in the next movement. Hexagonal-based movement has been proposed in a number of recent works including [ 21 , 23 , 41 ]. Similar to [ 23 ], the hexagons are formed based on the transmission range of

, where the side length of each hexagon is equal to

m .…”

Section: Proposed Modelmentioning

confidence: 99%

Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks

Alomari

Phillips

Aslam

et al. 2017

Sensors

View full text Add to dashboard Cite

Mobile anchor path planning techniques have provided as an alternative option for node localization in wireless sensor networks (WSNs). In such context, path planning is a movement pattern where a mobile anchor node’s movement is designed in order to achieve a maximum localization ratio possible with a minimum error rate. Typically, the mobility path planning is designed in advance, which is applicable when the mobile anchor has sufficient sources of energy and time. However, when the mobility movement is restricted or limited, a dynamic path planning design is needed. This paper proposes a novel distributed range-free movement mechanism for mobility-assisted localization in WSNs when the mobile anchor’s movement is limited. The designed movement is formed in real-time pattern using a fuzzy-logic approach based on the information received from the network and the nodes’ deployment. Our proposed model, Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization in WSNs (FLPPL), offers superior results in several metrics including both localization accuracy and localization ratio in comparison to other similar works.

show abstract

“…Hexagonal movement strategy helps to reduce the requirement of beacon points from three to two. One may find the detail description in [5] along with the proofs of the theorems stated in this paper.…”

Section: Definition 1 (Beacon Point) the Position Of The Anchor Thatmentioning

confidence: 99%

Path Planning Algorithm for Mobile Anchor in Connected Sensor Networks

Mondal

Karmakar

Mandal

2015

Distributed Computing and Internet Technology

Self Cite

View full text Add to dashboard Cite

Abstract. Path planning is an important issue for localization with mobile anchor in wireless sensor networks as movement of the mobile anchor consumes more energy compared to static anchor. Most of the works available in the literature either looks into the aspect of reducing path length of the mobile anchor or tries to increase localization accuracy. In this paper we propose a cost-effective movement strategy i.e., path planning for a mobile anchor which reduces path length and at the same time localization can be done using localization scheme [3], which yields good accuracy. Simulation results show improvement over existing work [4] in terms of both path length and localization accuracy.

show abstract

Path planning algorithms for mobile anchors towards range-free localization

Cited by 12 publications

References 29 publications

Research Trend Topic Area on Mobile Anchor Localization

Research Trend Topic Area on Mobile Anchor Localization

Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks

Path Planning Algorithm for Mobile Anchor in Connected Sensor Networks

Contact Info

Product

Resources

About