Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Using proximity and quantized RSS for sensor localization in wireless networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Sequence-Based Localization in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
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In wireless sensor networks, two types of emerging range-free and high-accuracy localization approaches including the approximate-point-in-triangulation test (APIT) and the sequence based localization (SBL) greatly depend on density of anchor nodes and connectivity of network. In this paper, we present a novel localization approach that combines APIT with SBL, called SB-APIT. First, we use APIT approaches to determine boundary. We then sequentially measure the received signal strength indicator (RSSI) value of target node within the range of one-hop neighbor nodes and rank the RSSI values to yield a location sequence. Furthermore, the coordinates of the area's geometric center is calculated as the target node' s coordinates. Finally, the simulation results obtained with 200 nodes show that our new approach reduces the average localization error by about 5%. It considerably improves the accuracy of localization.