Virtual MIMO-based cooperative beamforming and jamming scheme for the clustered wireless sensor network security
| Title | Virtual MIMO-based cooperative beamforming and jamming scheme for the clustered wireless sensor network security |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Li, Guyue, Hu, Aiqun |
| Conference Name | 2016 2nd IEEE International Conference on Computer and Communications (ICCC) |
| ISBN Number | 978-1-4673-9026-2 |
| Keywords | antenna, array signal processing, artificial neural network, Artificial neural networks, artificial noise, beamforming, beamforming vector optimization, cluster-based cooperative wireless sensor networks, clustered wireless sensor network security, Collaboration, computational complexity, cooperative communication, energy consumption, governance, Government, integer programming, jamming, jamming vector optimization, MIMO, MIMO communication, MISO, NP-hard problem, physical layer security, policy, policy-based governance, pubcrawl, QCQP, QoS constraints, quadratically constrained quadratic problem, quality of service, quality-of-service constraints, Resiliency, SCIP algorithm, security, sensor nodes, solving constraint integer programs, telecommunication security, total energy consumption, transmitting antennas, virtual MIMO-based cooperative beamforming and jamming, virtual multiinput multioutput communication architecture, Wireless Sensor Network, Wireless sensor networks, WSN |
| Abstract | This paper considers the physical layer security for the cluster-based cooperative wireless sensor networks (WSNs), where each node is equipped with a single antenna and sensor nodes cooperate at each cluster of the network to form a virtual multi-input multi-output (MIMO) communication architecture. We propose a joint cooperative beamforming and jamming scheme to enhance the security of the WSNs where a part of sensor nodes in Alice's cluster are deployed to transmit beamforming signals to Bob while a part of sensor nodes in Bob's cluster are utilized to jam Eve with artificial noise. The optimization of beamforming and jamming vectors to minimize total energy consumption satisfying the quality-of-service (QoS) constraints is a NP-hard problem. Fortunately, through reformulation, the problem is proved to be a quadratically constrained quadratic problem (QCQP) which can be solved by solving constraint integer programs (SCIP) algorithm. Finally, we give the simulation results of our proposed scheme. |
| URL | http://ieeexplore.ieee.org/document/7925099/ |
| DOI | 10.1109/CompComm.2016.7925099 |
| Citation Key | li_virtual_2016 |
- security
- Policy
- policy-based governance
- pubcrawl
- QCQP
- QoS constraints
- quadratically constrained quadratic problem
- quality of service
- quality-of-service constraints
- Resiliency
- SCIP algorithm
- physical layer security
- sensor nodes
- solving constraint integer programs
- telecommunication security
- total energy consumption
- transmitting antennas
- virtual MIMO-based cooperative beamforming and jamming
- virtual multiinput multioutput communication architecture
- Wireless Sensor Network
- wireless sensor networks
- WSN
- cooperative communication
- array signal processing
- artificial neural network
- Artificial Neural Networks
- artificial noise
- beamforming
- beamforming vector optimization
- cluster-based cooperative wireless sensor networks
- clustered wireless sensor network security
- collaboration
- computational complexity
- antenna
- energy consumption
- Governance
- Government
- integer programming
- Jamming
- jamming vector optimization
- MIMO
- MIMO communication
- MISO
- NP-hard problem