NDLI: An efficient adaptive method for estimating the distance between mobile sensors

Content Provider	Springer Nature Link
Author	Milocco, Ruben H. Boumerdassi, Selma
Copyright Year	2015
Abstract	The received signal strength (RSS) is a common source of information used for estimating the distance between two wireless nodes, whether these nodes are stationary or mobile. Minimum mean squared error distance estimation methods that use the RSS require prior knowledge of both the variance of the noise and, in the case of mobile sensors, the dynamics of the nodes’ mobility. In mobile applications, where low computational complexity is important, pseudo-optimal estimations are preferred, as they do not require such information. In this case, the maximum likelihood estimator (MLE) is often used. In this paper, we propose an efficient pseudo-optimal log-power based distance estimation method using RSS under lognormal shadowing, that improves the MLE. It does not require a priori knowledge either of the movement dynamics or of the variance of the noise. The method is based on adaptively minimizing the variance of the prediction error, using a random walk model with correlated increments. It is analytically demonstrated that the distance estimation error variance of the proposed method improves the MLE in both the static and mobile cases. We use a simulated velocity model example to compare its performance with other algorithms in this group, such as the linear mean square filter and the Gauss–Newton search.
Starting Page	2519
Ending Page	2529
Page Count	11
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	21
Issue Number	8
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2015-03-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Adaptive distance estimation Localization Wireless network Received signal strength Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive RSSI-based localization scheme for wireless sensor networks

Ant-based routing and QoS-effective data collection for mobile wireless sensor network

Experiments on localization of wireless sensors using airborne mobile anchors

Achieving robust wireless localization resilient to signal strength attacks

Empirical Experiments for Sensors' Distance Estimation in Smart Places

Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks

Mobile beacon based range free localization method for wireless sensor networks

A survey on mobile anchor assisted localization techniques in wireless sensor networks

RSS-Based Self-Localization Framework for Future Wireless Networks

An efficient adaptive method for estimating the distance between mobile sensors

Similar Documents

Adaptive RSSI-based localization scheme for wireless sensor networks

Ant-based routing and QoS-effective data collection for mobile wireless sensor network

Experiments on localization of wireless sensors using airborne mobile anchors

Achieving robust wireless localization resilient to signal strength attacks

Empirical Experiments for Sensors' Distance Estimation in Smart Places

Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks

Mobile beacon based range free localization method for wireless sensor networks

A survey on mobile anchor assisted localization techniques in wireless sensor networks

RSS-Based Self-Localization Framework for Future Wireless Networks

An efficient adaptive method for estimating the distance between mobile sensors