Localization and Tracking in Sensor Systems

Manley, Eric D.; Nahas, Huzaifa Al; Deogun, Jitender S.

doi:10.1109/sutc.2006.83

Cited by 25 publications

(13 citation statements)

References 31 publications

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“…A mean squared estimation(MMSE) [4], a technique for estimations, identification and removal of malicious location information was proposed in the same year. In 2006, based on features of the object location and trekking system, a hierarchical taxonomy was proposed [5]. Same year, two lightweight algorithms namely, Greedy Filtering by Matrix(GFM) and Trust Indicator(TI) for location verification were proposed [6].…”

Section: Literature Surveymentioning

confidence: 99%

“…Localization(finding location of a sensor)of a Wireless Sensor Networks(WSNs) poses an uphill task mainly as the extended community cost, bad localization, accuracy and restrained nodes are not addressed properly. Various models for Indoor localization [1], Surveillance [2] and outdoor localization [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] have already been presented but the main concern is Quality of Service(QOS) which includes accurate but secured location detection. A network could easily be attacked using man-inthe-middle 1 attack, Brute force 1 or social networking 1 .…”

Section: Introductionmentioning

confidence: 99%

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Secured GPS based Localization Protocol

Joshi¹,

Chaudhary²,

Saxena³

2018

IJCA

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Smart cities, smart villages, everything getting smart and so are the hackers. Networking has an important significance in the modern world of technology and securing it is as important as implementing it. The authors have proposed a Secured GPS Localization(SGPSL) protocol for the purpose of securing the location of the sensor nodes without compromising the resources. SGPSL provides two level security, first at the network authentication level and other at sensor level. To minimize the resource utilization mitigation is carried out. SGPSL is compared with existing GDOP [17] technique. It is observed that the bandwidth, and the energy consumed by the proposed work is 16%, and 19% respectively lesser then GDOP. The time secured is 5.3% lesser too. General TermSecured GPS Localization Protocol.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secured GPS based Localization Protocol

Joshi¹,

Chaudhary²,

Saxena³

2018

IJCA

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“…Localization is the process of determining the position of an object in space [39]. Sensors are randomly distributed across the entire target area with uniform density.…”

Section: Animal Sensor Localizationmentioning

confidence: 99%

“…Tracking seeks to identify the position of an object over time [39]. Accurate and energy efficient location estimation is essential for any successful deployment and application of WSN.…”

Section: Animal Sensor Localizationmentioning

confidence: 99%

A Conceptual Framework for Implementing a WSN Based Cattle Recovery System in Case of Cattle Rustling in Kenya

Wamuyu

2017

Technologies

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This study proposes a framework for remote identification and tracking of cattle movement based on wireless sensor networks (WSN), mobile communication, and unmanned aerial vehicles (UAVs). The proposed framework can be implemented for tracking cattle movement at the village level and extended to harsh terrain when recovering stolen animals in case of cattle rustling or theft. The system works by identifying and tracking the desired animal location and sending periodic location data at regular intervals to a database as well as availing the specific animal's current location on demand through the Internet and text messages. The proposed cattle tracking and recovery system (CTRS) consists of a rumen sensor module, a WSN control unit, a Worldwide Interoperability for Microwave Access (WiMAX) gateway, WiMAX base stations, and a data center. Availing timely information about the location of the stolen animals could facilitate quick recovery of the animals while ensuring the safety of the security personnel involved in the recovery process. Speedy recovery of stolen animals also defeats the purpose of cattle rustling as the rustlers do not have the chance to use the animals for their intended purposes. The proposed system was tested through a MATLAB simulation experiment.

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“…Therefore, the asynchronous MAC may work without the clock synchronization. However, WSNs commonly use time information at an application level to order the chronology of the sensing events or to compute the location information of an event [14]. Thus, sensor networks with the asynchronous wakeup scheduling still require a reference time to validate the time information.…”

Section: Introductionmentioning

confidence: 99%

Reactive Clock Synchronization for Wireless Sensor Networks with Asynchronous Wakeup Scheduling

Lee

Nah

Choi

2010

Software Technologies for Embedded and Ubiquitous Systems

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Most of the existing clock synchronization algorithms for wireless sensor networks can be viewed as proactive clock synchronization since they require nodes to periodically synchronize their clock to a reference node regardless of whether they use time information or not. However, the proactive approach wastes unnecessary energy and bandwidth when nodes don't use time information for their operations. In this paper, we propose a new clock synchronization scheme called Reactive Clock Synchronization (RCS) that can be carried out on demand. The main idea is that a source node initiates a synchronization process in parallel with a data communication. To propagate clock information only when there is traffic, we embed the synchronization process in a data communication process. The results from detailed simulations confirm that RCS consumes only less than 1 percent of the energy consumption compared to two representative existing algorithms while it improves the clock accuracy by up to 75.8%.

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Localization and Tracking in Sensor Systems

Abstract: Abstract

Cited by 25 publications

References 31 publications

Secured GPS based Localization Protocol

Secured GPS based Localization Protocol

A Conceptual Framework for Implementing a WSN Based Cattle Recovery System in Case of Cattle Rustling in Kenya

Reactive Clock Synchronization for Wireless Sensor Networks with Asynchronous Wakeup Scheduling

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