M-JAW: Mobility-Based Jamming Avoidance in Wireless Sensor Networks

Sudip Misra, Ayan Mondal, Prasenjit Bhavathankar, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Vehicular Technology
Issue number5
StatePublished - 2020


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