Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Localization, as a crucial service for sensor networks, is an energy-demanding process for both indoor and outdoor scenarios. GPS-based localization schemes are infeasible in remote, indoor areas, and it is not a cost-effective solution for large-scale networks. Single mobile-beacon architecture is recently considered to localize sensor networks with the aim of removing numerous GPS-equipped nodes. The critical issue for the mobile beacon-assisted localization is to preserve the consumed power to increase the lifetime. This paper presents a novel power control scheme, namely “Z-power,” for mobile beacon traveling along a predefined path. The proposed scheme takes the advantage of deterministic path traveled by the single beacon to efficiently adjust the transmission power. Based on the extensive results, the proposed power control scheme could successfully improve the beacon and sensors energy consumption about 25.37% and 34.09%, respectively. A significant energy-accuracy tradeoff was achieved using Z-power, which could successfully keep the same level of accuracy while providing lower energy consumption. Another group of results collected when obstacle-handling algorithm was applied at the presence of obstacles. In this scenario, Z-power improves energy consumption and localization accuracy with the same level of success.

[1]  Fengqi Yu,et al.  An energy efficient localization algorithm for wireless sensor networks using a mobile anchor node , 2008, 2008 International Conference on Information and Automation.

[2]  Sofiène Affes,et al.  Low-Cost Localization for Multihop Heterogeneous Wireless Sensor Networks , 2016, IEEE Transactions on Wireless Communications.

[3]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[4]  Eryk Dutkiewicz,et al.  Superior Path Planning Mechanism for Mobile Beacon-Assisted Localization in Wireless Sensor Networks , 2014, IEEE Sensors Journal.

[5]  Eryk Dutkiewicz,et al.  Impact of static trajectories on localization in wireless sensor networks , 2015, Wirel. Networks.

[6]  Dieter Hogrefe,et al.  Monte Carlo Localization for path-based mobility in mobile wireless sensor networks , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[7]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[8]  Mohsen Guizani,et al.  A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks , 2016, IEEE Communications Surveys & Tutorials.

[9]  Chih-Yung Chang,et al.  Anchor-Guiding Mechanism for Beacon-Assisted Localization in Wireless Sensor Networks , 2012, IEEE Sensors Journal.

[10]  David E. Culler,et al.  TinyOS: An Operating System for Sensor Networks , 2005, Ambient Intelligence.

[11]  Subir Halder,et al.  A survey on mobility-assisted localization techniques in wireless sensor networks , 2016, J. Netw. Comput. Appl..

[12]  Mohsen Guizani,et al.  A Disaster Management-Oriented Path Planning for Mobile Anchor Node-Based Localization in Wireless Sensor Networks , 2020, IEEE Transactions on Emerging Topics in Computing.

[13]  Marjan Moradi,et al.  Efficient localization via Middle-node cooperation in wireless sensor networks , 2011, International Conference on Electrical, Control and Computer Engineering 2011 (InECCE).

[14]  Dimitrios Koutsonikolas,et al.  Path planning of mobile landmarks for localization in wireless sensor networks , 2006, Comput. Commun..

[15]  Dimitrios D. Vergados,et al.  A survey on power control issues in wireless sensor networks , 2007, IEEE Communications Surveys & Tutorials.

[16]  Takahiro Hara,et al.  Path planning using a mobile anchor node based on trilateration in wireless sensor networks , 2013, Wirel. Commun. Mob. Comput..

[17]  Erkam Uzun,et al.  The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks , 2014, IEEE Transactions on Computers.

[18]  Marco Zuniga,et al.  An analysis of unreliability and asymmetry in low-power wireless links , 2007, TOSN.

[19]  P. R. Kumar,et al.  Principles and protocols for power control in wireless ad hoc networks , 2005 .

[20]  Shamik Sengupta,et al.  A Game Theoretic Framework for Power Control in Wireless Sensor Networks , 2010, IEEE Transactions on Computers.

[21]  Max Q.-H. Meng,et al.  Power Adaptive Localization Algorithm for Wireless Sensor Networks Using Particle Filter , 2009, IEEE Transactions on Vehicular Technology.

[22]  Kuei-Ping Shih,et al.  A localization protocol with adaptive power control in wireless sensor networks , 2008, Comput. Commun..

[23]  Gergely V. Záruba,et al.  Static Path Planning for Mobile Beacons to Localize Sensor Networks , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[24]  Chia-Ho Ou,et al.  Path Planning Algorithm for Mobile Anchor-Based Localization in Wireless Sensor Networks , 2013, IEEE Sensors Journal.

[25]  Sang Hyuk Son,et al.  ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks , 2016, TOSN.

[26]  Yeng Chai Soh,et al.  Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections , 2016, IEEE Transactions on Industrial Informatics.

[27]  Pingping Xu,et al.  An Accurate and Energy-Efficient Localization Algorithm for Wireless Sensor Networks , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[28]  David Simplot-Ryl,et al.  Dynamic Beacon Mobility Scheduling for Sensor Localization , 2012, IEEE Transactions on Parallel and Distributed Systems.