Power Efficient Data Collection in Wireless Sensor Networks
Shamimul Qamar1, Niranjan Lal2
1Shamimul Qamar, Department of China National Chemical Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia.
2Niranjan Lal, Department of Computer Science and Engineering, Symbiosis Entrance Test, Mody University, Lakshmangarh, Sikar, Rajasthan, India.
Manuscript received on 03 April 2019 | Revised Manuscript received on 10 April 2019 | Manuscript Published on 13 April 2019 | PP: 133-137 | Volume-8 Issue-6C April 2019 | Retrieval Number: F12310486C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless sensor networks experiencing exponential growth in the past decade. In almost all areas it is required to manage and monitor the devices with low cost solutions and proper localization process for communication that manages the sensor nodes across the globe, there are many applications those are possible by wireless sensor networks in today’s era like smart home, environmental monitoring, smart traffic management etc. proper identification and communication setup is very important task, especially in Internet of Things or Internet of Everything, among the different sensor nodes in the network and other mobile devices. Designing an efficient, reliable, scalable, and cost-effective localization process is required for the effective communication. Using wireless sensor network, we can access, monitor, and collect the useful information remotely like temperature, humidity, vibration, acceleration. In this paper we have identified issues related to consumption of energy in wireless sensor network (WSN). In wireless sensor network, sensor nodes are deployed randomly to collect the useful data and information from different applications for further processing. Sensor nodes may be located on different locations, in staring we collect the raw data from sensor nodes that will store at remote base station known as sink. As the sensor nodes are located on different geographical locations which have limited battery power and life time. The sensors node battery life is different parameters like traffic intensity, communication channel. There are many researches are going on this area to maximize sensor’s lifetime by using routing mechanism. In this paper, we have proposed LEACH and PEGASIS approaches for improve lifetime of sensor node in wireless sensor networks. Firstly, we have discussed the primary routing challenges, and secondly, in this paper we have covered design area of routing in wireless sensor network with modulation techniques to design efficient routing protocols for wireless sensor networks.
Keywords: Data Collection; Node; Style; Wireless Sensor Network.
Scope of the Article: Computer Science and Its Applications