Skulic, Jelena Primary Author mixed material bibliography Taylor & Francis 2012 en English

Computer Software

Wireless Sensor Network (WSN) can be deployed on bridges for Structural Health Monitoring (SHM). SHM applications tend to produce a very high amount of data for transfer which consumes much battery power and makes the lifetime of network very short. We propose to use network coding to improve network efficiency and thus prolong its lifetime. A frequently overlooked disadvantage of network coding in WSN is the link quality issue. After a message is lost or overhearing opportunity is missed due to insufficient received signal power or excessive interference, the decoding for network coding cannot be performed at the intermediate nodes, thus significantly degrading performance. For bridge monitoring, sensor nodes are likely to form a linear topology such as along both sides of the bridge. To ensure proper data transfer and decoding by use of network coding, we propose here to control transmission power as a means to adjust the number of nodes that can overhear a message transmission by a neighboring node. Network coding gain relies on such message overhearing. On the other hand, too much overhearing by high power transmission consumes too much limited battery energy. By simulation, we study the tradeoffs between overhearing and power consumption for the network-coding scheme. Specifically, we consider a bridge with fixed length and sensor nodes are deployed at a uniform distance along one or both sides of the bridge. Each radio link is characterized by an exponential path loss, shadowing and Rayleigh fading. Our numerical results reveal that appropriate choices of transmission power (thus the degree of communication connectivity) can achieve the optimal extent of overhearing for network coding gain, while minimizing the overall power consumption for the WSN. BRIDGE MONITORING 624.21(063) Perpustakaan Direktorat Bina Teknik Jalan dan Jembatan Direktorat Jenderal Bina Marga - Kementerian Pekerjaan Umum (NPP: 3273244A00000001) 0000020769 My Library 20046 machine generated