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Wireless Sensor Network is a network of small battery powered sensing devices (known as sensing nodes), capable of sensing the physical parameters like temperature, humidity, pressure, motion, etc. from its environment of deployment and report it to a central node called base station. These nodes collaborate with each other to fulfill their task. As the energy source is constrained in WSNs, it should...
This research expands the scope of wireless sensor network (WSN) optimization from single objective to multi objective optimization. It introduces a WSN's energy-aware and coverage preserve hierarchal clustering and routing model based on multi-objective bat swarm optimization algorithm. Two objectives are taken into consideration; coverage and nodes residual energies. The proposed model optimizes...
Energy consumption of wireless nodes in WSNs increases with transmission duration. To reduce it so as to extend the entire network lifecycle at no sacrifice of communication reliability and quality, this paper first proves experimentally the relationship of communication distance to emission rate is of a logistic curve and find the receiving current increases linearly with the emission rate, Then,...
In the last few years, Wireless Sensor Network (WSN) emerges and appears as an essential platform for prominent concept of Internet of Things (IoT). Their application ranges from so-called “smart cities”, “smart homes” over environmental monitoring. The connectivity in IoT mainly relies on RPL (IPv6 Routing Protocol for Low Power and Lossy Network) - a routing algorithm that constructs and maintains...
In recent years, as the development of wireless sensor networks, people do some deep research on cluster-based protocol, most about the prolongation of the lifetime of WSN and decline of energy consumed by the sensors .This article analyses the cluster-heads generating algorithm among LEACH and presents improved approach that adjusting the nodes, threshold function. When non cluster-heads choose optimal...
The phenomenon of self-organization is pervasive in nature,where biological organisms efficiently self-organize unreliable and dynamically changing components to develop a wide diversity of functions. In addition, these biological organisms enjoy the desirable properties of robustness to the failure of individual components, adaptivity to changing conditions, and the lack of reliance on explicit central...
This paper presents a distributed fermat-point range estimation strategy, which is important in the moving sensor localization applications. The fermat-point is defined as a point which minimizes the sum of distances from three sensors inside a triangle. This point is indeed at the trianglepsilas center of gravity. We solve the problems of large errors and poor performance in the bounding box algorithm...
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