The numerical results obtained using a Qualnet simulator confirm the effectiveness and robustness of the proposed approach.ġ.2.1 ç„¡ç The proposed scheme enables each normal sensor node to automatically discover its location without maintaining the addition information (i.e., the locations of neighboring nodes, a global or a subset of network topology, and so forth) and to efficiently detect and track the boundary of the current moveable pollution in its sensing field. In WWSN, this study develops an aquatic-pollution detection and tracking scheme, designated as AquaView, based on an autonomous self-localization cluster mechanism. To prevent such damages from expanding, a wireless sensor network deployed over the ocean, referred to as Water-surface Wireless Sensor Network (WWSN) in this study, is a suitable candidate for timely monitoring of such wide range and continuous moving objects. Spilled invisible pollutions, such as oil or biochemical materials, damage not only the ocean environment but also the regional economics. ¯ä¹‹æ°´æ±¡æŸ“åµæ¸¬åŠè¿½è¹¤ç³»çµ±ĪquaView: An Aquatic-Pollution Detection and Tracking Scheme for Water-Surface Wireless Sensor Networks.
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