Efficient Data Collection Using Dynamic Mobile Sink in Wireless Sensor Network

摘要

The elemental task of a wireless sensor network is to monitor a substantial area which requires gathering information by the sensor nodes from the sensor field and disseminate to the sink node. Data dissemination from cluster head to sink node in multiple hops leads to non-uniformity of energy consumption among sensors which may reduce network lifetime. Hence, the concept of sink mobility came into existence. For the complete utilization of sink mobility, a random move with efficient data collection is proposed which is named as Dynamic Sink Mobility for Data Collection (DSMDC). Sink migration is based on Detected Event Frequency (DEF). In DSMDC, the mobile sink plays the entire role for collecting data from cluster heads by first reaching the grid set with highest DEF and then by taking a clockwise move with SDMA technology to collect data from the remaining grid set in parallel while returning back to its original position. Existing data collection techniques that uses sink mobility are classified and analyzed. DSMDC is simulated using NS2 and proved to be better in terms of performance metrics when compared with two more dynamic moving strategies, namely DEF-A and DEF-D, in which the mobile sink moves based on the ascending and descending order of the DEF.