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In this paper, we propose a novel low-cost localization algorithm tailored for multihop heterogeneous wireless sensor networks (HWSNs) where nodes’ transmission capabilities are different. This characteristic, if not taken into account when designing the localization algorithm, may severely hinder its accuracy. Assuming different nodes’ transmission capabilities, we develop two different approaches...
An accurate localization algorithm tailored for anisotropic wireless sensors networks (WSN)s is proposed in this paper. Using the proposed algorithm, each regular or position unaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making thereby...
In this paper, we propose a novel localization algorithm tailored for energy-harvesting wireless sensor networks EH-WSNs where both the power budgets available at the EH sensors and hence their transmission capabilities are random. This characteristic, if not taken into account when designing the localization algorithm, may severely hinder its accuracy. Assuming a random transmission capability at...
In this paper, we propose a novel range-free localization algorithm tailored for mobile wireless sensor networks (MWSN)s. In contrast to the most existing range- free algorithms, the nodes mobility is taken into accounts when designing our algorithm. We show that nodes are able to estimate their positions using solely their locally-available information, thereby avoiding any unnecessary overhead and...
In this paper, a novel localization algorithm tailored for underground mines is proposed. Using the proposed algorithm, each regular (i.e position-unaware) node estimates its distances to the anchor (i.e., position-aware) nodes exploiting only its locally available information. Furthermore, a new hop count adjustment scheme, which complies with the labyrinthic nature of underground mines, is developed...
In this paper, we propose a novel range-free localization algorithm tailored for anisotropic wireless sensors networks (WSN)s. Using the proposed algorithm, each regular or positionunaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making...
In this paper, we propose a novel range-free localization algorithm tailored for heterogeneous wireless sensor networks (WSNs), where nodes have different transmission capabilities. Two different approaches are developed to accurately derive the expected hop progress (EHP). It is shown that the obtained EHP depends solely on the information locally available at each node and, hence, can be computed...
In this paper, we propose a novel range-free localization algorithm able to reduce errors due to mapping the hops into distance units. Using the proposed algorithm, the mean hop size h̄s is locally derived at each regular or position-unaware node, thereby avoiding its broadcast by anchors (i.e., a few nodes aware of their exact position) as usually required in current state-of-the-art solutions and,...
In this work, we propose a novel hop-count based localization algorithm able to reduce errors due to mapping the hops into distance units. Using the proposed algorithm, the mean hop size ¯hs is locally derived at each regular or position-unaware node, thereby avoiding its broadcast by anchors (i.e., a few nodes aware of their exact position) as usually required in current state-of-the-art solutions...
Underground narrow-vein mines result in complex indoor scenarios which require sophisticated localization techniques to maintain basic security measures. While some traditional localization systems use the triangulation techniques for outdoor channels, fingerprint positioning techniques are mostly used in more complex indoor environments like mines. One of the techniques exploited in the quasi-curvilinear...
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