Abstract
Wireless Sensor Networks plays a vital role in all emerging areas of Wireless Platforms like Interne of Things (IoT), WiFi, WiMAX etc. Sensor nodes are communicated with or without the presence of administrator. Data gathering is a major issue in WSN which influences the throughput, energy and data delivery. In previous research, there was not taken efforts to focus on balanced data gathering. In this research, we propose Reliable Energy Efficient Data Gathering Approach (REEDGA) to balance data gathering and overhead. To achieve this, proposed work consists of three phases. In first phase, estimation of information gathering is implemented through stable paths. Stable paths are found based on link cost. In second phase, data gathering phase is initialized to save energy in the presence of mobile sensor nodes. Overhead is kept low while keeping round trip time of gathered data. From the analytical simulation using NS2, the proposed approach achieves better performance in terms of data delivery rate, data gathering rate, throughput, delay, link availability and control overhead.
Highlights
Wireless Sensor Networks (WSNs) are emerging field in wireless technology which requires development of many sensor nodes that communicate with one another to perform a standard task
When Main Cluster Head (MCH) is located inside the transmission range, the destination node collects the data from its cluster head
We can see that proposed approach attains (92-59) % of data gathering level
Summary
Wireless Sensor Networks (WSNs) are emerging field in wireless technology which requires development of many sensor nodes that communicate with one another to perform a standard task. Needs all sensing information are properly and accurately collected and forwarded to the base station, since the process of those information desires the global knowledge and is far additional complicated than that in different applications like target tracking. This feature prevents data aggregation/fusion techniques to boost the network performance. The most important traffic in sensor data collection is that the according information from every sensor node to the base station Such “many-to-one” traffic pattern, if not carefully handled, can cause high unbalanced and less energy efficiency within the whole network. Due to the harshness of the sensing atmosphere on minimize the disturbances, such an answer is commonly infeasible within the context of sensor data collection
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