Path planning using a mobile anchor node based on trilateration in wireless sensor networks

Abstract

In wireless sensor networks (WSNs), many applications require sensor nodes to obtain their locations. Now, the main idea in most existing localization algorithms has been that a mobile anchor node (e.g., global positioning system-equipped nodes) broadcasts its coordinates to help other unknown nodes to localize themselves while moving according to a specified trajectory. This method not only reduces the cost of WSNs but also gets high localization accuracy. In this case, a basic problem is that the path planning of the mobile anchor node should move along the trajectory to minimize the localization error and to localize the unknown nodes. In this paper, we propose a Localization algorithm with a Mobile Anchor node based on Trilateration (LMAT) in WSNs. LMAT algorithm uses a mobile anchor node to move according to trilateration trajectory in deployment area and broadcasts its current position periodically. Simulation results show that the performance of our LMAT algorithm is better than that of other similar algorithms.

Impacts of traveling paths on energy provisioning for industrial wireless rechargeable sensor networks

“…We set R be 5 m in this paper, that is, only the nodes within 5 m of the charger can be replenished energy. So far there have been a certain number of researches on charging strategies in WRSNs [15][16][17][18][19][20][21]. Since there has no uniform standard of classification for these charging algorithms, here we classify the existing charging algorithms with respect to the mobility state of chargers into two groups: (1) static chargers such as methods proposed in [15,16], (2) mobile chargers such as methods proposed in [17][18][19][20].…”

“…In addition, they maintain the same goal: serve more sensor nodes in the network while reducing the traveling length as much as possible. Path planning of the mobile beacon in localization has been well studied in the past few years [21][22][23][24][25]. Thus, in this paper, we choose four classic traveling paths which have been designed for localization in WSNs, namely, SCAN, HILBERT, S-CURVES, and Z-curve to study their performance in wireless charging.…”

A Location Prediction Based Data Gathering Protocol for Wireless Sensor Networks Using a Mobile Sink

“…Typical applications of WSNs include environment monitoring, military surveillance, target tracking, health monitoring, natural disasters monitoring and so on [1][2][3]. In these applications, manual replacement of sensor batteries is often infeasible due to operational factors.…”

Survey of Localization Techniques based on Mobile Beacon in Wireless Sensor Network

“…Based on this idea, the LMAT algorithm is proposed in [33] where optimal beacon positions for the mobile beacon are used for obtaining better localization accuracy and coverage. In this work, it is considered that the mobile beacon moves along an equilateral triangle trajectory and transmits the beacons including the beacon position information at regular intervals.…”