Abstract

About two-third of the earth is covered with water. Oceanographic research is one of the prominent area of\nresearch. A major area of oceanic research is detection of oil spills. Ocean is a home for several aquatic creatures. Every year\nmany aquatic creatures loose life because of pollution that occurs through the leakage of oil. Oil leakage occurs due to several\nreasons like breakage of oil pipes, leakage of oil from ships and through industrial wastes. Oil spill detection is a very\nimportant challenge faced by researchers in oceanographic domain. In this paper we present a new scheme of detection of oil\nspill using Internet of things. We propose a method of applying Wireless Sensor Networks (WSNs) to detect oceanic oil\nspills. In addition we propose inclusion of intelligence at multiple aggregation levels to improve efficiency of deployed\nnetwork. As additional intelligence is granted to sensor nodes, instead of being passive detectors, they work as intelligent\nobservers, thereby making the detection process, an inter-network of intelligent nodes.