Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2980
Title: Low Latency and Energy Efficient Sensor Selection for IoT Services
Authors: Shukla, Jaya
Maiti, Prasenjit
Sahoo, Bibhudatta
Keywords: Internet of Things
Latency Minimization
Energy Saving
Energy Balancing
Service Mapping
Issue Date: Mar-2018
Citation: IEEE International Conference on Technologies for Smart-City Energy Security and Power (ICSESP-2018), Bhubaneswar, Odisha, India, 28 - 30 March, 2018
Abstract: Internet of Things (IoT) is an anytime-anywhere networking technique to connect the smart objects irrespective of their location. The growing world of IoT is accompanied with a growth in the number of associated sensors, growing at a much faster rate. So, the role of choosing appropriate sensors to synchronize with the IoT services in different applications becomes a big challenge owing to the heterogeneity, diversity and huge number of sensors, different user requirements and preferences, specialized criteria needs for various process, etc. So, the task of sensor selection by the middleware becomes very cumbersome as well as vital. This paper presents a collocation based sensor-service mapping strategy that has been used to link the IoT services to the most suited sensor device. The aim is to reduce the latency incurred in collecting the sensed data. It also considers the energy requirements of the system so that the system has a prolonged lifetime. A comparison has been done with previously existing collocation based distance algorithm that involved mapping based on reducing the overall energy of the system and random mapping where services are randomly allocated to any device. The comparison shows results in favor of the proposed algorithm.
Description: Copyright of this document belongs to proceedings publisher.
URI: http://hdl.handle.net/2080/2980
Appears in Collections:Conference Papers

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