TY - JOUR
T1 - An efficient trajectory design for mobile sink in a wireless sensor network
AU - Ghafoor, Saim
AU - Rehmani, Mubashir Husain
AU - Cho, Sunghyun
AU - Park, Sung Han
N1 - Publisher Copyright:
© 2014 Elsevier Ltd. All rights reserved.
PY - 2014
Y1 - 2014
N2 - Mobile sink trajectory plays a pivotal role for network coverage, data collection and data dissemination in wireless sensor networks. Considering this, we propose a novel approach for mobile sink trajectory in wireless sensor networks. Our proposed approach is based on Hilbert Space Filling Curve, however, the proposed approach is different from the previouswork in a sense that the curve order changes according to node density. In this paper, we investigate the mobile sink trajectory based on Hilbert Curve Order which depends upon the size of the network. Second, we calculate the Hilbert Curve Order based on node density to redimension the mobile sink trajectory. Finally, we perform extensive simulations to evaluate the effectiveness of proposed approach in terms of network coverage and scalability. Simulation results confirm that our proposed approach outperforms with size based Hilbert Curve in terms of network coverage, packet delivery ratio and average energy consumption.
AB - Mobile sink trajectory plays a pivotal role for network coverage, data collection and data dissemination in wireless sensor networks. Considering this, we propose a novel approach for mobile sink trajectory in wireless sensor networks. Our proposed approach is based on Hilbert Space Filling Curve, however, the proposed approach is different from the previouswork in a sense that the curve order changes according to node density. In this paper, we investigate the mobile sink trajectory based on Hilbert Curve Order which depends upon the size of the network. Second, we calculate the Hilbert Curve Order based on node density to redimension the mobile sink trajectory. Finally, we perform extensive simulations to evaluate the effectiveness of proposed approach in terms of network coverage and scalability. Simulation results confirm that our proposed approach outperforms with size based Hilbert Curve in terms of network coverage, packet delivery ratio and average energy consumption.
KW - Data dissemination
KW - Hilbert space filling curve
KW - Mobile sink trajectory
KW - Network coverage
KW - Node density
KW - Wireless sensor network
UR - https://www.scopus.com/pages/publications/85027931725
U2 - 10.1016/j.compeleceng.2014.07.018
DO - 10.1016/j.compeleceng.2014.07.018
M3 - Article
AN - SCOPUS:85027931725
SN - 0045-7906
VL - 40
SP - 2089
EP - 2100
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
IS - 7
ER -