DEVELOPMENT OF A CONTEXT-AWARE SENSOR NETWORK ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN A SMART CITY

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ARGANY MEYSAM

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Journal: Human Geography Research Year:2018 | Volume:49 | Issue:4 Page(s): 951-960

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Information Journal Paper

Title

DEVELOPMENT OF A CONTEXT-AWARE SENSOR NETWORK ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN A SMART CITY

Author(s)

ARGANY MEYSAM | Issue Writer Certificate

Keywords

SENSOR DEPLOYMENTQ1

URBAN AREAQ1

CONTEXTUAL INFORMATIONQ1

OPTIMIZATIONQ1

CONTEXT- AWARE ALGORITHMQ1

Abstract

Introduction: A sensor network usually consists of numerous wireless devices deployed in a region of interest in a city. Despite and communication of the information in the cities may be constrained by the limitations of sensors deployed in the network nodes in URBAN AREAs. These restrictions may include sensing range, battery power, connection ability, memory, and limited computation capabilities. These limitations create challenging problems for the users of the sensor networks and decision makers, which has pushed researchers from different disciplines in recent years to study various problems related to the design and deployments of efficient sensor networks regarding characteristics and requirements of the smart cities. However, sensor networks deployment has some limitations when it comes to the modeling, monitoring, and detecting environmental processes. Urban environmental elements are also important to be considered in a realistic sensor networks deployment. Other examples of such elements include CONTEXTUAL INFORMATION of the sensors environment and urban physical phenomena in distributed area of the network. Using such information in context of urban applications is necessary to perform an appropriate and efficient sensor network deployment. For this purpose, one needs to introduce relevant models of the type of urban phenomena, the accessibility or inaccessibility of the observation area in the city, urban environmental conditions, spatial relations between the objects as well as sensors, and different level of information availability. The complexity of the URBAN AREA as the sensing environment of sensor networks may result in several uncovered areas. Consequently, performing an optimized sensor placement affects how well an urban region is covered as well as the cost for constructing the network and connecting the networks elements. Hence, a fundamental issue in a sensor network in an URBAN AREA is the OPTIMIZATION of its spatial coverage. Based on previous studies, several OPTIMIZATION algorithms were developed and applied in recent years to meet this criterion. Most of these algorithms often rely on oversimplified sensors, their characteristics, and network models as well as simulation of the efficient urban model and its relevant elements…

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APA: Copy

ARGANY, MEYSAM. (2018). DEVELOPMENT OF A CONTEXT-AWARE SENSOR NETWORK ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN A SMART CITY. HUMAN GEOGRAPHY RESEARCH QUARTERLY, 49(4 ), 951-960. SID. https://sid.ir/paper/138922/en

Vancouver: Copy

ARGANY MEYSAM. DEVELOPMENT OF A CONTEXT-AWARE SENSOR NETWORK ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN A SMART CITY. HUMAN GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2018;49(4 ):951-960. Available from: https://sid.ir/paper/138922/en

IEEE: Copy

MEYSAM ARGANY, “DEVELOPMENT OF A CONTEXT-AWARE SENSOR NETWORK ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN A SMART CITY,” HUMAN GEOGRAPHY RESEARCH QUARTERLY, vol. 49, no. 4 , pp. 951–960, 2018, [Online]. Available: https://sid.ir/paper/138922/en

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