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Interest Broadcast Suppression Scheme for Named Data Wireless Sensor Networks

Interest Broadcast Suppression Scheme for Named Data Wireless Sensor Networks
Bouk, Safdar HussainAhmed, Syed HassanPark, Kyung-JoonEun, Yongsoon
DGIST Authors
Park, Kyung-JoonEun, Yongsoon
Issued Date
Article Type
Author Keywords
NDNWSNinterestholding timebroadcast storm
Named data networking (NDN) is one of the future networking architectures that communicates content using names, instead of the node addresses. It uses a very simple pull-based communication mechanism to retrieve content by sending an Interest message, and the node that has the required content or producer node replies with the data message. In wireless networks, the interest is flooded in the network to find the data provider node. The directional diffusion method is used to pull further content from the provider node. Due to broadcast nature and without node addresses, interest flooding causes network congestion and wastes network resources, especially bandwidth and battery power. These resources have prime importance in the case of wireless sensor networks (WSNs) because all WSN nodes operate on battery and have limited bandwidth. In this paper, we propose an interest broadcast suppression scheme that considers interest holding time using the distance between forwarder and receiver of the interest, energy, angle, and distance from the beeline between consumer and the spatial region, to avoid broadcasting of unnecessary copies of Interest. The simulation results show that the proposed scheme mitigates the interest broadcast and conserves battery power of the wireless nodes compared with the state-of-the-art scheme in the domain. © 2019 IEEE.
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • 박경준 Park, Kyung-Joon 전기전자컴퓨터공학과
  • Research Interests Cyber-Physical Systems; 무선 센서-액츄에이터 네트워크; 스마트 팩토리
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Appears in Collections:
Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles
Department of Electrical Engineering and Computer Science CSI(Cyber-Physical Systems Integration) Lab 1. Journal Articles


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