Abstract
Accurate and low-cost sensor localisation is the key requirement for deploying wireless sensor networks (WSNs) and the internet of things (IoT) in various applications. Researchers are trying their best to find a way to localise mobile nodes in WSNs. To solve the problem of the moment outside the anchoring range or positioning errors, an improved distance vector hop (DV-Hop) location algorithm based on the Markov chain Monte Carlo Metropolitan Hastings algorithm (MMDV-Hop) is proposed. According to the receiving and transmitting power of received signal strength indication (RSSI), anchor information is taken into account when calculating the distance between unknown nodes and anchor nodes. From the different percentages of anchor nodes and unknown nodes, node density, and node connectivity, MMDVHop shows better position error than traditional algorithms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
