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An efficient approach to node localisation and tracking in wireless sensor networks

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dc.contributor.author Mwila, MK
dc.contributor.author Djouani, K
dc.contributor.author Kurien, A
dc.date.accessioned 2015-08-19T11:13:42Z
dc.date.available 2015-08-19T11:13:42Z
dc.date.issued 2014-12
dc.identifier.citation Mwila, MK, Djouani, K and Kurien, A. 2014. An efficient approach to node localisation and tracking in wireless sensor networks, IEEE Globecom 2014- Ad Hoc and Sensor Networking Symposium, Austin - Texas (USA), 8-12 December 2014, pp 492-497 en_US
dc.identifier.uri http://hdl.handle.net/10204/8097
dc.description IEEE Globecom 2014 - Ad Hoc and Sensor Networking Symposium, Austin - Texas (USA), 8-12 December 2014 en_US
dc.description.abstract Localisation is one of the most important applications for wireless sensor networks since the locations of the sensor nodes are critical to both network operations and most application level tasks. Numerous techniques for localisation of sensor nodes that make use of the Received Signal Strength Indicator (RSSI) have been proposed because of the simplicity and low cost of implementation. However, most of the research thus far has regarded the RSSI technology as unsuitable for accurate localisation due to the limited accuracy inherent to the current ranging models. These models make the assumption that the antenna radiation pattern is omnidirectional in order to simplify the complexity of the algorithms. In this study, an accurate and efficient localisation method that makes use of an improved RSSI distance estimation model by including the antenna radiation pattern as well as nodes orientations is presented. Mathematical models for distance estimation, cost function and gradient of cost function, that can be used in a distributed localisation algorithm, are developed. This study also introduces a sensor data fusion approach, combining accelerometer data, RSSI, antenna radiation pattern and node orientation to reduce the computation complexity during the tracking phase. The proposed algorithm is implemented in Matlab. Simulation results show that the proposed approach increases the accuracy of existing methods using RSSI by up to 59%. en_US
dc.language.iso en en_US
dc.publisher IEEE Globecom 2014 en_US
dc.relation.ispartofseries Workflow;14265
dc.subject Antenna radiation pattern en_US
dc.subject Node localisation en_US
dc.subject Sensor data fusion en_US
dc.subject Gauss-Newton optimisation method en_US
dc.subject Wireless sensor networks en_US
dc.title An efficient approach to node localisation and tracking in wireless sensor networks en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Mwila, M., Djouani, K., & Kurien, A. (2014). An efficient approach to node localisation and tracking in wireless sensor networks. IEEE Globecom 2014. http://hdl.handle.net/10204/8097 en_ZA
dc.identifier.chicagocitation Mwila, MK, K Djouani, and A Kurien. "An efficient approach to node localisation and tracking in wireless sensor networks." (2014): http://hdl.handle.net/10204/8097 en_ZA
dc.identifier.vancouvercitation Mwila M, Djouani K, Kurien A, An efficient approach to node localisation and tracking in wireless sensor networks; IEEE Globecom 2014; 2014. http://hdl.handle.net/10204/8097 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mwila, MK AU - Djouani, K AU - Kurien, A AB - Localisation is one of the most important applications for wireless sensor networks since the locations of the sensor nodes are critical to both network operations and most application level tasks. Numerous techniques for localisation of sensor nodes that make use of the Received Signal Strength Indicator (RSSI) have been proposed because of the simplicity and low cost of implementation. However, most of the research thus far has regarded the RSSI technology as unsuitable for accurate localisation due to the limited accuracy inherent to the current ranging models. These models make the assumption that the antenna radiation pattern is omnidirectional in order to simplify the complexity of the algorithms. In this study, an accurate and efficient localisation method that makes use of an improved RSSI distance estimation model by including the antenna radiation pattern as well as nodes orientations is presented. Mathematical models for distance estimation, cost function and gradient of cost function, that can be used in a distributed localisation algorithm, are developed. This study also introduces a sensor data fusion approach, combining accelerometer data, RSSI, antenna radiation pattern and node orientation to reduce the computation complexity during the tracking phase. The proposed algorithm is implemented in Matlab. Simulation results show that the proposed approach increases the accuracy of existing methods using RSSI by up to 59%. DA - 2014-12 DB - ResearchSpace DP - CSIR KW - Antenna radiation pattern KW - Node localisation KW - Sensor data fusion KW - Gauss-Newton optimisation method KW - Wireless sensor networks LK - https://researchspace.csir.co.za PY - 2014 T1 - An efficient approach to node localisation and tracking in wireless sensor networks TI - An efficient approach to node localisation and tracking in wireless sensor networks UR - http://hdl.handle.net/10204/8097 ER - en_ZA


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