Estimation error minimization in sensor networks with mobile agents
Yashar Ghiassi-Farrokhfal, Vahid R. Arbab, Mohammad Reza Pakravan · 2006
In a SEnsor Network with Mobile Agents (SENMA) is an architecture proposed for large scale sensor networks. In sensor networks, a fraction of the packets generated by only part of the sensors is sufficient to provide a good estimation of all network information. SENMA uses this inherent redundancy. However, the performance of such system is limited by estimation errors and packet errors due to collision. Estimation error is a major problem in applications such as habitat monitoring in which information is a function of node position. In this paper, we first derive the equations of distortion in a general scenario and use this model to compare the estimation error for regular networks. Then by obtaining four best node positions for estimation error reduction, minmax distortion for estimation in a square area is achieved. In addition, an opportunistic MAC is proposed that considers both collision effects and estimation error based on Channel State Information (CSI). As the simulation results show the proposed scheme achieves an optimum estimation with minimum collision and energy consumption.