Composite Interference Mapping Model to Determine Interference-Fault Free Schedule in WSN
Beneyaz Ara Begum, Satyanarayana V. Nandury · IEEE Access · 2022
The primary focus of most approaches that model interference in WSN is to understand the conditions under which the signals received by a destination node are interfered by the transmissions of other source nodes. While these models support the basic understanding of interference phenomenon between two nodes; models that attempt to map the nodes whose transmissions can potentially interfere with other nodes is highly desirable. To this end, the Composite Interference Mapping (CIM) model presented in this paper, provides a holistic frame-work for determining a comprehensive map of all potential interferers, for each and every node in the WSN. Based on CIM model, we have developed Interference-Fault Free Transmission (IFFT) scheduling algorithms for (i) topology-free, and (ii) tree-structured WSNs. In addition to determining IFFT schedules, the algorithms also address the Exposed Station (ES) and Hidden Terminal (HT) problems. We present the analytical studies developed to support the models developed in the paper. The results of the simulation experiments have shown that the CIM-based IFFT algorithms perform much better compared to some of the existing algorithms in performance metrics such as: number of time slots, packet drop, number of dead nodes, honouring precedence relations, and addressing ES and HT problems.