TY - GEN
T1 - Minimizing energy of scalable distributed least squares localization
AU - Olivia, Diana
AU - Ramakrishna, M.
AU - Divya, S.
PY - 2012/8/27
Y1 - 2012/8/27
N2 - In recent years, Wireless Sensor Networks (WSN) have become a growing technology that has broad range of applications. One of the major areas of research in Sensor Networks is location estimation. Distributed Least Squares (DLS) algorithm is a good solution for fine grained localization. Here localization process is split into a complex precalculation and a simple postcalculation process. This paper presents a revised version of DLS, i.e. minimized energy Distributed Least Squares (meDLS) algorithm where each blind node collects position of neighbouring beacon nodes and directly sends it to the sink node for precalculation. The precaluated data is sent back to the blind node for postcalculation, where location of blind node is estimated. The proposed algorithm is simulated and compared with scalable DLS (sDLS) for computational and communicational cost.
AB - In recent years, Wireless Sensor Networks (WSN) have become a growing technology that has broad range of applications. One of the major areas of research in Sensor Networks is location estimation. Distributed Least Squares (DLS) algorithm is a good solution for fine grained localization. Here localization process is split into a complex precalculation and a simple postcalculation process. This paper presents a revised version of DLS, i.e. minimized energy Distributed Least Squares (meDLS) algorithm where each blind node collects position of neighbouring beacon nodes and directly sends it to the sink node for precalculation. The precaluated data is sent back to the blind node for postcalculation, where location of blind node is estimated. The proposed algorithm is simulated and compared with scalable DLS (sDLS) for computational and communicational cost.
UR - http://www.scopus.com/inward/record.url?scp=84865209168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865209168&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-32112-2_10
DO - 10.1007/978-3-642-32112-2_10
M3 - Conference contribution
AN - SCOPUS:84865209168
SN - 9783642321115
T3 - Communications in Computer and Information Science
SP - 77
EP - 83
BT - Eco-Friendly Computing and Communication Systems - International Conference, ICECCS 2012, Proceedings
T2 - International Conference on Eco-Friendly Computing and Communication Systems, ICECCS 2012
Y2 - 9 August 2012 through 11 August 2012
ER -