TY - GEN
T1 - Energy-efficient connectivity re-establishment in WSN in the presence of dumb nodes
AU - Kar, Pushpendu
AU - Roy, Arijit
AU - Misra, Sudip
AU - Obaidat, Mohammad S.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/8
Y1 - 2015/9/8
N2 - In this work, we propose a scheme, named LECRAD, for the re-construction of temporarily lost connectivity in the presence of dumb nodes in stationary wireless sensor networks. A sensor node is termed as 'dumb', when it continues its physical sensing, but fails to communicate due to shrinkage in communication range, typically attributed to adverse environmental effects such as rainfall, fog and high temperature. On the resumption of favorable environmental conditions, the node starts to behave normally. So, dumb behavior is dynamic in nature. Such behavior of a node leads to network partitioning and node isolation, which results in disruption of connected topology. Therefore, the proposed scheme in this paper reconstructs the lost connectivities between nodes by activating intermediate sleep nodes or by adjusting the communication range of the sensor nodes, while there is no neighbor node within the reduced communication range. In the proposed scheme, a learning automata-based approach is used for activation of intermediate sleep nodes or adjustment of communication range of isolated or intermediate nodes to decrease the message overhead and energy consumption of the network. Simulation results show that the proposed scheme, LECRAD, exhibits better energy efficiency and message overhead than that of the recently proposed topology management protocols, LETC and A1, if they are applied in such scenario.
AB - In this work, we propose a scheme, named LECRAD, for the re-construction of temporarily lost connectivity in the presence of dumb nodes in stationary wireless sensor networks. A sensor node is termed as 'dumb', when it continues its physical sensing, but fails to communicate due to shrinkage in communication range, typically attributed to adverse environmental effects such as rainfall, fog and high temperature. On the resumption of favorable environmental conditions, the node starts to behave normally. So, dumb behavior is dynamic in nature. Such behavior of a node leads to network partitioning and node isolation, which results in disruption of connected topology. Therefore, the proposed scheme in this paper reconstructs the lost connectivities between nodes by activating intermediate sleep nodes or by adjusting the communication range of the sensor nodes, while there is no neighbor node within the reduced communication range. In the proposed scheme, a learning automata-based approach is used for activation of intermediate sleep nodes or adjustment of communication range of isolated or intermediate nodes to decrease the message overhead and energy consumption of the network. Simulation results show that the proposed scheme, LECRAD, exhibits better energy efficiency and message overhead than that of the recently proposed topology management protocols, LETC and A1, if they are applied in such scenario.
KW - Connectivity re-establishment
KW - Dumb Node
KW - Environmental effect
KW - Learning automata
UR - http://www.scopus.com/inward/record.url?scp=84947719766&partnerID=8YFLogxK
U2 - 10.1109/ICCW.2015.7247389
DO - 10.1109/ICCW.2015.7247389
M3 - Conference contribution
AN - SCOPUS:84947719766
T3 - 2015 IEEE International Conference on Communication Workshop, ICCW 2015
SP - 1485
EP - 1490
BT - 2015 IEEE International Conference on Communication Workshop, ICCW 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Communication Workshop, ICCW 2015
Y2 - 8 June 2015 through 12 June 2015
ER -
