Wireless sensor networks (WSNs) enable many applications such as intelligent control,\nprediction, tracking, and other communication network services, which are integrated into many\ntechnologies of the Internet-of-Things. The conventional localization frameworks may not function\nwell in practical environments since they were designed either for two-dimensional space only, or\nhave high computational costs, or are sensitive to measurement errors. In order to build an accurate\nand efficient localization scheme, we consider in this paper a hybrid received signal strength and\nangle-of-arrival localization in three-dimensional WSNs, where sensors are randomly deployed with\nthe transmit power and the path loss exponent unknown. Moreover, in order to avoid the difficulty of\nsolving the conventional maximum-likelihood estimator due to its non-convex and highly complex\nnatures, we derive a weighted least squares estimate to estimate jointly the location of the unknown\nnode and the two aforementioned channel components through some suitable approximations.\nSimulation results confirm the effectiveness of the proposed method.
Loading....