![]() | Only 14 pages are availabe for public view |
Abstract Wireless Sensor Network (WSN) with a large number of sensor nodes are used as an effective tool for gathering data in various situations. One of the major issues in WSN is developing an energy efficient fusion algorithm which has a significant impact on the overall lifetime of the sensor network. Deployment strategy is first considered in this thesis by comparing random and fixed deployment strategies. One hundred sensors have been deployed in a normalized square area and four cases for event detection are studied. Two parameters are calculated; number of selected sensors, which reflect energy consumption, and sensing capability. A Mobility Efficient Data Fusion (MEDF) algorithm is proposed, in which data compression protocol is integrated with an adaptive clustering protocol. The performance of the proposed MEDF protocol is compared with the Energy Efficient Multiple Data Fusion (EEMDF) protocol. The performance is evaluated mainly, according to four metrics, packet delivery ratio, network life time, average energy consumed, and average delay. Decision fusion of binary decisions transmitted over noisy and fading channels in WSNs is studied. Hamming, LDPC, and Viterbi coding techniques have been used with interleaving for processing received decisions at local sensors. Performance enhancement has been obtained by using coding and interleaving. Maximal Ratio Combining (MRC) and Equal Gain Combining (EGC) fusion rules have been used in wavelet domain at the fusion center showing a great success in the fusion results. |