2015
DOI: 10.1155/2015/682182
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Multihops Fitting Approach for Node Localization in Underwater Wireless Sensor Networks

Abstract: Nodes in underwater wireless sensor networks (UWSNs) keep moving and dispersing due to force of water flow and aquatic creatures touching, and thus some isolated unknown nodes emerge. This type of isolated unknown nodes cannot directly communicate with enough beacons in their neighborhoods, which makes localizations for them disabled or the localization error unbearable. To this end, a multihops fitting localization approach is proposed in this paper. Firstly, some intermediate nodes between beacons and unknow… Show more

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Cited by 14 publications
(13 citation statements)
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“…The difference between these two is that the forwarded distance between the nodes is in meters instead of in a hop. In [37] multi-hop fitting approach for node localization has been done. Euclidian method [38] estimates the Euclidian distance from anchor to sensor nodes and due to this, it is more accurate.…”
Section: Localization In Uwsns For Multi-hopmentioning
confidence: 99%
“…The difference between these two is that the forwarded distance between the nodes is in meters instead of in a hop. In [37] multi-hop fitting approach for node localization has been done. Euclidian method [38] estimates the Euclidian distance from anchor to sensor nodes and due to this, it is more accurate.…”
Section: Localization In Uwsns For Multi-hopmentioning
confidence: 99%
“…This scheme does not require time synchronization. However, its drawback is high energy consumption due to high communication overheads.Multihop fitting localization approach (MFLA) [25] is an example of a distributed location estimation technique. This algorithm takes isolated unlocalized nodes into account.…”
Section: Related Workmentioning
confidence: 99%
“…Multihop fitting localization approach (MFLA) [25] is an example of a distributed location estimation technique. This algorithm takes isolated unlocalized nodes into account.…”
Section: Related Workmentioning
confidence: 99%
“…In [ 26 ], the authors take isolated unknown nodes into account. Considering the mobile UWSNs, the nodes are mobile with the water currents.…”
Section: Localization Algorithmmentioning
confidence: 99%