Passive Source Localization in a Randomly Distributed Wireless Sensor Networks

Passive Source Localization in a Randomly Distributed Wireless Sensor Networks

This paper proposes a source localization scheme using random arrays of Wireless Sensor Networks (WSN). A Total Least Square (TLS) estimator is proposed which improves the result of the location of source node. Using a relatively new Direction of Arrival (DOA) estimation technique Space Division Multiple Access (SDMA) receiver the proposed solution is able to perform localization in a multipath...

Distributed Source Localization in Wireless Underground Sensor Networks

Node localization plays an important role in many practical applications of wireless underground sensor networks (WUSNs), such as finding the locations of earthquake epicenters, underground explosions, and microseismic events in mines. It is more difficult to obtain the time-difference-of-arrival (TDOA) measurements in WUSNs than in terrestrial wireless sensor networks because of the unfavorabl...

Algorithms for distributed source localization in Wireless Sensor Networks

Architecture for Distributed Source Localization in Wireless Sensor Networks

3 Introduction : 3 Algorithm for source location estimation : 4 Architecture : 6 The Protocol : 9 Assumptions : 14 Conclusions : 15 References : 16 Web Resources : 16 An Architecture for distributed source localization in Wireless Sensor Networks Soma Sekhar Dhavala, ISU, ee543x project report 3 Abstract: In this project report, we propose a new architecture for distributed source localization ...

Multicast Routing in Wireless Sensor Networks: A Distributed Reinforcement Learning Approach

Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...