LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN

Larios, Diego Francisco; Barbancho, Julio; Molina, J.M.; León, Carlos

doi:10.1016/j.adhoc.2011.11.003

Cited by 37 publications

(27 citation statements)

References 52 publications

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“…The range-free has fewer hardware and a low overall system cost, but a low system accuracy (Zhong & He, 2009;Chen et al, 2013). Hence, the studies of Yun et al (2009), Larios, Barbancho, Molina, andLeón (2012) and So-In, Permpol, and Rujirakul (2016) attempted to address this limitation by using soft computing approach to optimise and improve accuracy because of its tolerance for imprecision and uncertainty.…”

Section: Wsn-based Positioning Systemmentioning

confidence: 99%

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

150

129

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The research and use of positioning and navigation technologies outdoors has seen a steady and exponential growth. Based on this success, there have been attempts to implement these technologies indoors, leading to numerous studies. Most of the algorithms, techniques and technologies used have been implemented outdoors. However, how they fare indoors is different altogether. Thus, several technologies have been proposed and implemented to improve positioning and navigation indoors. Among them are Infrared (IR), Ultrasound, Audible Sound, Magnetic, Optical and Vision, Radio Frequency (RF), Visible Light, Pedestrian Dead Reckoning (PDR)/Inertial Navigation System (INS) and Hybrid. The RF technologies include Bluetooth, Ultra-wideband (UWB), Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN), Radio-Frequency Identification (RFID) and Near Field Communication (NFC). In addition, positioning techniques applied in indoor positioning systems include the signal properties and positioning algorithms. The prevalent signal properties are Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI), while the positioning algorithms are Triangulation, Trilateration, Proximity and Scene Analysis/ Fingerprinting. This paper presents a state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios. It analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability. This paper has profound implications for future studies of positioning and navigation.

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Section: Wsn-based Positioning Systemmentioning

confidence: 99%

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

150

129

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“…The research study [7], designed an adaptive wireless data communication to the network conditions, traffic characteristics and location information to minimize the energy and bandwidth usage. The other research uses fuzzy as computation method in the mobile device and other wireless sensor with the limited resources [8,9].…”

Section: (Mobile Source) Servermentioning

confidence: 99%

Untitled

Indrawanti¹,

Wibisono²

2015

Jurnal Ilmu Komputer dan Informasi

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Updating mechanism is the most important thing in giving the information for the end-user by sending the data from client to the server. There are several kinds of update mechanisms, one of them is reporting protocol. Reporting protocol sends the data from the client to the server continuously within a certain time period. Sometimes, the data that is sent continuously from the client to the server gives the same information repeatedly to the end-user. Although, there is no need for same information to be sent to the end-user repeatedly. This can cause a large amount of bandwidth usage. In this research, the researcher developed an improvement of reporting protocol mechanism for mobile user using change detection and resource-aware data sensing to minimize the bandwidth and resource usage. The data transmission frequency is reduced by the user activity changes prediction and the data sensing speed is reduced by adaptive data sensing. The results show that the improvement of reporting protocol mechanism adaptively can improve reporting protocol performance. This is shown by the improvement of the bandwidth efficiency up to 36-97%, memory efficiency at 1.5-6% and battery efficiency at 7-13%. Keywords: information updating, change detection, resource-aware, data stream AbstrakMekanisme update memegang peranan penting dalam menyampaikan informasi kepada end-user dengan melakukan pengiriman data dari klien ke server. Ada beberapa mekanisme update yang digunakan, salah satunya adalah reporting protocol. Reporting protocol mengirimkan data dari klien ke server secara kontinyu dalam interval waktu tertentu dimana terkadang memberikan informasi yang selalu sama dan berulang kepada end-user. Padahal, informasi yang sama tidak perlu dikirim secara berulang kepada end-user karena menyebabkan penggunaan bandwidth menjadi kurang efisien. Dalam penelitian ini, peneliti mengembangkan sebuah perbaikan mekanisme reporting protocol dengan change detection dan resource aware data sensing untuk menghemat penggunaan bandwidth dan resource. Mekanisme perbaikan reporting protocol yang dilakukan adalah mengurangi frekuensi pengiriman data dengan memprediksi adanya perubahan aktivitas dan posisi pada user. Prediksi perubahan aktivitas dan posisi digunakan sebagai trigger ketika akan melakukan pengiriman data. Hasil penelitian menunjukkan bahwa mekanisme reporting protocol secara adaptif dapat meningkatkan performa reporting protocol. Hal ini ditunjukkan dengan penghematan bandwidth sebesar 36-97%, penghematan memori sebesar 1.5-6% dan penghematan baterai sebesar 7-13%.

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“…In recent years, more and more studies have looked at positioning the nodes without any GPS devices in WSN [15,16]. LIS [17] is a novel localization algorithm. As nodes run a fuzzy logic algorithm for processing the information, it was considered that nodes were provided with some kind of intelligence.…”

Section: Related Workmentioning

confidence: 99%

Data Dissemination in Mobile Wireless Sensor Network Using Trajectory-Based Network Coding

Zhang

Yang

et al. 2013

International Journal of Distributed Sensor Networks

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With GPS devices spreading, more mobile nodes are guided by the navigation systems to select better paths. The performance of mobile networks can be improved with the navigation information in nodes. In this paper, we propose a trajectory-based network coding (TBNC) method to disseminate data in mobile wireless sensor network (MWSN). It is designed according to the characteristics of MWSN and is appropriate for the mobile nodes that share anonymously its GPS pretrajectory for the higher bandwidth. Data are disseminated in the topology that is predicted on the basis of the trajectory information. Network coding is used to adapt for the dynamics velocity of mobile nodes. Simulation results show that TBNC is able to cut down 1/2 overhead messages of PRoPHET when mobile nodes share GPS trajectory. It improves the reliability and scalability of MWSN.

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LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN

Cited by 37 publications

References 52 publications

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Untitled

Data Dissemination in Mobile Wireless Sensor Network Using Trajectory-Based Network Coding

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