AN EFFICIENT PATH SELECTION FOR FAST DATA COLLECTION IN WSN USING MULTIPLE MOBILE SINK

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

Abstract

Wireless sensor networks are limited in energy, utilizing the sink mobility has been found a better choice to tackle the limited energy conserved environment, this also may help to balance the node energy. Data dissemination to the mobile sink is a tedious and challenging task, and this creates a scheduling problem too for the resource constrained sensor nodes. This problem has arises due to the dynamic network topology caused by the mobility model. To improve the data collection in energy constrained networks, the system proposes multiple mobile sink ability. This deploys more than one mobile sink in the network environment for optimal and different delay constrained nodes. This denotes a mobile sink is required to visit some sensor nodes or parts of a WSN more frequently than others while ensuring that energy usage is minimized, and all data are collected within a given deadline. There is a need to extend WRP to the multiple mobile sinks/rovers case in order to improve the scalability. While extending number of mobile sinks, it may involve with many sub problems such as interference and coordination between Mobile sinks. In order to overcome the several existing problems, a novel scheme proposed named as MMS a dynamic Multiple Mobile Sink Scheduling Dynamic for fast data collection is proposed. Unlike the existing approaches, this improves data delivery performance by employing multiple mobile sinks and by deploying fine scheduling at strategically important points in the sensor field, the proposed Optimized Mobile Sink Protocol (OMS) does not allow packet drop at such situation. It aims to optimize the trade-off between nodes energy consumption and data delivery.

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Keywords

Path Selection, Cloud Computing, WSN, fast data collection, Networking.