Firefly Tuned Minimum Power Routing in Wireless Video Sensor Networks for IOT

Author(s):

Anand Singh , Apex group of institutions, karnal,haryana,india

Keywords:

Wireless Video Sensor Network, Routing, Channel Allocation, Multi-Hop Path, Edges, Internet of Things

Abstract:

Wireless networks of battery-powered sensors with an event-driven wake-up function are becoming an increasingly important application area for Internet of Things (IoT).This paper analyzes the physical relation between the power consumption and the link utilization of wireless video sensor networks. We propose a multi-channel allocation and routing method for wireless multi-hop networks where each node generates event-driven video sensor data. Routing and channel allocation put a large impact on the battery life time of IoT sensors. We realistically analyze the power consumption model for a wireless link in terms of the distance and its utilization ratio. We then present an optimization formula of utilization-aware channel allocation and routing that minimizes the overall power consumption while transferring all the required video data. We developed an efficient firefly optimization algorithm that accurately approximates the formula. A network simulator has been developed, which show that the proposed method can reduce the overall power consumption.

Other Details:

Manuscript Id	:	IJSTEV3I3028
Published in	:	Volume : 3, Issue : 3
Publication Date	:	01/10/2016
Page(s)	:	78-83

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