TY - JOUR
T1 - M-JAW: Mobility-Based Jamming Avoidance in Wireless Sensor Networks
AU - Misra, Sudip
AU - Mondal, Ayan
AU - Bhavathankar, Prasenjit
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020
Y1 - 2020
N2 - In this work, we study the problem of jamming avoidance for ensuring quality-of-service (QoS) in terms of the network lifetime and overhead in wireless sensor networks (WSNs). We propose a mobility model using $Single-Leader- Multiple-Followers Stackelberg game theory$ to avoid the jamming affected region. In the proposed model, the centralized unit (CU) identifies the jamming affected region based on the locations of the affected nodes and acts as the leader. On the other hand, the jamming affected nodes act as followers and decide the mobility pattern, including the angle of movement, while minimizing the energy consumption and delay in packet delivery. A scheme, named M-JAW, for ensuring QoS, while avoiding jammers in WSNs, is proposed using the stated game-theoretic mobility model. Using M-JAW, the energy consumption of the overall network reduces by up to 20:36%, and the network overload reduces by 44:13-50:12%, which, in turn, increases the lifetime of WSNs.
AB - In this work, we study the problem of jamming avoidance for ensuring quality-of-service (QoS) in terms of the network lifetime and overhead in wireless sensor networks (WSNs). We propose a mobility model using $Single-Leader- Multiple-Followers Stackelberg game theory$ to avoid the jamming affected region. In the proposed model, the centralized unit (CU) identifies the jamming affected region based on the locations of the affected nodes and acts as the leader. On the other hand, the jamming affected nodes act as followers and decide the mobility pattern, including the angle of movement, while minimizing the energy consumption and delay in packet delivery. A scheme, named M-JAW, for ensuring QoS, while avoiding jammers in WSNs, is proposed using the stated game-theoretic mobility model. Using M-JAW, the energy consumption of the overall network reduces by up to 20:36%, and the network overload reduces by 44:13-50:12%, which, in turn, increases the lifetime of WSNs.
UR - http://hdl.handle.net/10754/662439
UR - https://ieeexplore.ieee.org/document/9056495/
UR - http://www.scopus.com/inward/record.url?scp=85085208925&partnerID=8YFLogxK
U2 - 10.1109/TVT.2020.2982966
DO - 10.1109/TVT.2020.2982966
M3 - Article
SN - 1939-9359
VL - 69
SP - 1
EP - 1
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 5
ER -