Energy Efficient Moving Target Tracking in Wireless Sensor Networks

Abstract

Moving target tracking in wireless sensor networks is of paramount importance. This paper considers the problem of state estimation for L-sensor linear dynamic systems. Firstly, the paper establishes the fuzzy model for measurement condition estimation. Then, Generalized Kalman Filter design is performed to incorporate the novel neighborhood function and the target motion information, improving with an increasing number of active sensors. The proposed measurement selection approach has some advantages in time cost. As such, if the desired accuracy has been achieved, the parameter initialization for optimization can be readily resolved, which maximizes the expected lifespan while preserving tracking accuracy. Through theoretical justifications and empirical studies, we demonstrate that the proposed scheme achieves substantially superior performances over conventional methods in terms of moving target tracking under the resource-constrained wireless sensor networks.

Compressive sensing for localisation in wireless sensor networks: an approach for energy and error control

“…There exists considerable literature related to energy-efficient localisation in WSNs, among which examples of the most recent are [9][10][11].…”

“…Helical movement of the target node and anchor node (shown as a circle) for TOA data acquisition. The anchor position is(10,100,10). Dimensions shown are in metres.…”

Kinematics Based Approach for Data Reduction in Wireless Video Sensor Networks

“…The objective is to follow the traces from the first alert message detecting a target, the agent can immediately start with the first trace by studying the intensity of the trace, and then by grouping 2 or more traces, the path can be built. In [12] the target is considered as an unkown sensor with RFF. Measurement selection in this work are based on fuzzy modeling, the position estimation is aggregated through neighborhood functions.…”

Design of Shrewd Underwater Routing Synergy Using Porous Energy Shells

“…Simultaneity, location-free routing protocols have more potential but also possess some drawbacks such as network parameters that do not effectively choose the next forwarder node, and there is a chance of unsuitable link selection which would consume high energy [6], whereas it is speculated that depth-based routing (DBR) ignores the residual energy and considers the depth information for the next forwarder only. However, the proposed shrewd underwater routing synergy using porous energy shell (SURS-PES) avails the residual energy but does not impact the link factor for the next forwarder and it also is not bothered by depth information, whereas DBR has a greater chance of energy wastage while choosing the regular passage due to shaky links [7]. Underwater nodes, when bearing low water pressure, could die earlier in the usual routing scheme.…”