NDLI: Sequential Monte Carlo localization in mobile sensor networks

Content Provider	Springer Nature Link
Author	Wang, Weidong Zhu, Qingxin
Copyright Year	2007
Abstract	Node localization in wireless sensor networks is essential to many applications such as routing protocol, target tracking and environment surveillance. Many localization schemes have been proposed in the past few years and they can be classified into two categories: range-based and range-free. Since range-based techniques need special hardware, which increases the localization cost, many researchers now focus on the range-free techniques. However, most of the range-free localization schemes assume that the sensor nodes are static, the network topology is known in advance, and the radio propagation is perfect circle. Moreover, many schemes need densely distributed anchor nodes whose positions are known in advance in order to estimate the positions of the unknown nodes. These assumptions are not practical in real network. In this paper, we consider the sensor networks with sparse anchor nodes and irregular radio propagation. Based on Sequential Monte Carlo method, we propose an alterative localization method—Sequential Monte Carlo Localization scheme (SMCL). Unlike many previously proposed methods, our work takes the probabilistic approach, which is suitable for the mobile sensor networks because both anchors and unknown nodes can move, and the network topology need not be formed beforehand. Moreover, our algorithm is scalable and can be used in large-scale sensor networks. Simulation results show that SMCL has better localization accuracy and it can localize more sensor nodes when the anchor density is low. The communication overhead of SMCL is also lower than other localization algorithms.
Starting Page	481
Ending Page	495
Page Count	15
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	15
Issue Number	4
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2007-09-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Range-free localization Mobile sensor networks Sequential Monte Carlo method Business Information Systems Electrical Engineering Computer Communication Networks Communications Engineering, Networks
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

Low communication cost (LCC) scheme for localizing mobile wireless sensor networks

Monte Carlo localization of wireless sensor networks with a single mobile beacon

Mobile beacon based range free localization method for wireless sensor networks

Robust Range-Free Localization in Wireless Sensor Networks

Power efficient range-free localization algorithm for wireless sensor networks

An analytical geometric range free localization scheme based on mobile beacon points in wireless sensor network

Weighted centroid localization based on compressive sensing

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

Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks

Sequential Monte Carlo localization in mobile sensor networks

Similar Documents

Low communication cost (LCC) scheme for localizing mobile wireless sensor networks

Monte Carlo localization of wireless sensor networks with a single mobile beacon

Mobile beacon based range free localization method for wireless sensor networks

Robust Range-Free Localization in Wireless Sensor Networks

Power efficient range-free localization algorithm for wireless sensor networks

An analytical geometric range free localization scheme based on mobile beacon points in wireless sensor network

Weighted centroid localization based on compressive sensing

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

Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks

Sequential Monte Carlo localization in mobile sensor networks