Optimal path selection algorithm for mobile beacons in sensor network under non-dense distribution
نویسندگان
چکیده
منابع مشابه
3D Path Planning Algorithm for Mobile Anchor-Assisted Positioning in Wireless Sensor Networks
Positioning service is one of Wireless Sensor Networks’ (WSNs) fundamental services. The accurate position of the sensor nodes plays a vital role in many applications of WSNs. In this paper, a 3D positioning algorithm is being proposed, using mobile anchor node to assist sensor nodes in order to estimate their positions in a 3D geospatial environment. However, mobile anchor node’s 3D path optim...
متن کاملTPS DR: A Universal Dimension Reducing Algorithm for Optimal Trust Path Selection in Complex Sensor Network
Energy efficiency, one of the key factors for sensor network, is a challenging work. It is agreed that sink routing is the main influencing factor for energy efficiency and selecting an optimal routing path becomes critical. It is hard for source participant (sink nodes, namely trustor) to select a trustworthy target participant (data collecting sensor nodes, namely trustee), especially when th...
متن کاملDistributed Algorithm for a Mobile Wireless Sensor Network for Optimal Coverage of Non-stationary Signals
In this paper we will deal with the problem of optimal coverage of a wireless sensor network for random signals appearing with non-stationary distributions. The wireless sensor network can be either with limited mobility or with large redundancy of the nodes. We will give a distributed algorithm that successfully solves this problem, and we will show its efficiency in simulations in a 2-D envir...
متن کاملA Cellular Automaton Based Algorithm for Mobile Sensor Gathering
In this paper we proposed a Cellular Automaton based local algorithm to solve the autonomously sensor gathering problem in Mobile Wireless Sensor Networks (MWSN). In this problem initially the connected mobile sensors deployed in the network and goal is gather all sensors into one location. The sensors decide to move only based on their local information. Cellular Automaton (CA) as dynamical sy...
متن کاملOptimal Sensor Placement within a Hybrid Dense Sensor Network using an Adaptive Genetic Algorithm with Learning
This work develops optimal sensor placement within a hybrid dense sensor network used in the construction of accurate strain maps for large-scale structural components. Realization of accurate strain maps is imperative for improved strain-based fault diagnosis and prognosis health management in large-scale structures. Here, an objective function specifically formulated to reduce type I and II e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Open Physics
سال: 2018
ISSN: 2391-5471
DOI: 10.1515/phys-2018-0127