Study on Energy-Efficient Aware Localization WSN and Secure Model for WSN Lifetime Enhancement Satendra Ahirwal
Keywords:
Wireless Sensors, Localisation, Euclidean distance matrix (EDM), Bayesian learning, Wireless Sensor Networks, Range-basedAbstract
Wireless sensor technologies and standards for wireless communications or wireless sensor network localisation are important areas that have attracted significant research interest. This interest is expected to grow further with the increase in the number of wireless sensor network applications. The location of sensors remains unknown to most of the sensors themselves; this is a result of the limitations created by cost, energy consumption, sensor size and deployment, and the environment for implementation. Sensor network algorithm estimates the coordinates of nodes. Localisation is one of the key techniques in wireless sensor networks. The location estimation methods can be classified into target node and source node localisation and node self-localisation. Existing methods (RSS, AOA, TOA, TDOA) simulate analysis errors more. Still, our proposed methods are better in terms of localisation accuracy and minimisation of error rate than the existing localisation method. Range-based schemes compared the localisation positioning method (RSS) and proposed scheme analysis in wireless sensor networks supported by the Internet of Things. In the Internet of Things, using the localisation positioning method and finding the correct position of the number anchor nodes, satisfying each of the factors in WSN, minimises error. Another practical issue involving the presence of malicious sensors called Byzantines is discussed, and mitigation schemes are provided. A recent coding-theory-based approach, which is both computationally inexpensive and robust to such malicious attacks, is also discussed.