TY - GEN
T1 - A chain-based relocation approach to maintain connectivity with a center of interest
AU - Korbi, Inès El
AU - Zeadally, Sherali
AU - Jumira, Oswald
PY - 2012
Y1 - 2012
N2 - Mobile nodes within Wireless Sensor Networks (WSNs) open up new challenges such as improved energy efficiency, coverage, target tracking, and fault tolerance. We propose a novel Chain-Based Relocation Approach (CBRA) to relocate mobile sensor nodes from their initial positions within a Region Of Interest (ROI) to cover a particular event happening outside the initial deployment zone called Center a Of Interest (COI). CBRA uses a grid quorum-based solution to propagate the redundant nodes present within the ROI. We propose an energybased redundant node selection procedure to ensure a balanced energy consumption among the redundant nodes regardless of the location of the redundant nodes with respect to the COI. We evaluate the performance of the CBRA solution using the WSNet simulator. Simulation results show that the network energy consumption and the relocation time increase as the distance separating the COI from the ROI increases. Moreover, the whole network energy consumption improves with the network density while the relocation time decreases with increasing speed of sensor nodes.
AB - Mobile nodes within Wireless Sensor Networks (WSNs) open up new challenges such as improved energy efficiency, coverage, target tracking, and fault tolerance. We propose a novel Chain-Based Relocation Approach (CBRA) to relocate mobile sensor nodes from their initial positions within a Region Of Interest (ROI) to cover a particular event happening outside the initial deployment zone called Center a Of Interest (COI). CBRA uses a grid quorum-based solution to propagate the redundant nodes present within the ROI. We propose an energybased redundant node selection procedure to ensure a balanced energy consumption among the redundant nodes regardless of the location of the redundant nodes with respect to the COI. We evaluate the performance of the CBRA solution using the WSNet simulator. Simulation results show that the network energy consumption and the relocation time increase as the distance separating the COI from the ROI increases. Moreover, the whole network energy consumption improves with the network density while the relocation time decreases with increasing speed of sensor nodes.
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U2 - 10.1109/ICCSE.2012.40
DO - 10.1109/ICCSE.2012.40
M3 - Conference contribution
AN - SCOPUS:84874028682
SN - 9780769549149
T3 - Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
SP - 235
EP - 242
BT - Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
T2 - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
Y2 - 5 December 2012 through 7 December 2012
ER -