Abstract:In large wireless sensor networks, low energy consumption is a major challenge. Hence, deployed nodes have to organize themselves as energy efficient as possible to avoid unnecessary sensor and transceiver operations. The energy conserving operations are limited by the task of the network, usually the network has to guarantee complete functionality during its lifetime.The contribution of this paper completes the functionality-aware and energy-efficient clustering algorithm family MASCLE by two innovative algor… Show more
“…In particular, our scheme is adaptive to dense network and it works efficiently in lowduty-cycled WSNs In paper [5] Degan Zhang, Guang Li et.al proposed a method forward aware factor (FAF-EBRM).this method is used for the next hop node selected according to the forward energy density and link weight .The FAF-EBRM compared with LEACH and EEUC. The proposed method balance the energy reduction, function lifetime and provide good quality of service .…”
ABSTRACT:A wireless sensor network consists of a large number of nodes spread over a specific area where we want to look after at the changes going on there. A sensor node generally consists of sensors, actuators, memory, a processor and they do have communication ability. All the sensor nodes are allowed to communicate through a wireless medium. The wireless medium may either of radio frequencies, infrared or any other medium, of course, having no wired connection. Many techniques are proposed for energy saving, Clustering is one of them. In this technique, the clusters are formed by clustering of the grouping nodes. The cluster heads are elected periodically such that members of a cluster can communicate with their cluster heads. These cluster heads send data received from its members to a base station. The multi clustering can also be used. RFID is used in it. The cluster head should have to be rotated for the balancing of energy and then there will be equal load on every node.A master node is deployed within sensor network that is synchronized with GPS. Master node gives the timing information to all sensor nodes so they all are synchronized to each other.
“…In particular, our scheme is adaptive to dense network and it works efficiently in lowduty-cycled WSNs In paper [5] Degan Zhang, Guang Li et.al proposed a method forward aware factor (FAF-EBRM).this method is used for the next hop node selected according to the forward energy density and link weight .The FAF-EBRM compared with LEACH and EEUC. The proposed method balance the energy reduction, function lifetime and provide good quality of service .…”
ABSTRACT:A wireless sensor network consists of a large number of nodes spread over a specific area where we want to look after at the changes going on there. A sensor node generally consists of sensors, actuators, memory, a processor and they do have communication ability. All the sensor nodes are allowed to communicate through a wireless medium. The wireless medium may either of radio frequencies, infrared or any other medium, of course, having no wired connection. Many techniques are proposed for energy saving, Clustering is one of them. In this technique, the clusters are formed by clustering of the grouping nodes. The cluster heads are elected periodically such that members of a cluster can communicate with their cluster heads. These cluster heads send data received from its members to a base station. The multi clustering can also be used. RFID is used in it. The cluster head should have to be rotated for the balancing of energy and then there will be equal load on every node.A master node is deployed within sensor network that is synchronized with GPS. Master node gives the timing information to all sensor nodes so they all are synchronized to each other.
“…This paper displays a Hybrid Clustering Approach (HCA). Jakob Salzmann et al presented [3] an augmentation of MASCLE convention as HEX_MASCLE, which upgrade the system lifetime by changing the state of cells. It utilize the joined idea of two stage cycle (2-MASCLE) and four stage cycle(4-MASCLE) to diminish the vitality utilization.…”
“…In [23], the proposed Hex-MASCLE algorithms combine advantages of temporal and spatial network fragmentation. As compare to previous approaches, the shapes of the basic cells are given by regular hexagons, similar to honeycombs.…”
Small, low cost, low power and multifunctional sensor are developed as a result of improvement in microelectromechanical (MEMS) technology. Sensor's are connected via wireless medium and are used to observe various aspects of the physical world. Data sensed by these nodes needs to be ag-glomerated using data fusion, which requires clocks of nodes to be synchronized with each other. Existing approaches of clock synchronization are not designed keeping wireless sensor networks in mind. So there is a need to extend or redesign and develop a new way to synchronize the wireless sensor networks that is best suited to the specific needs of a sensor-network application. In this paper, we introduced a new approach of synchronization of nodes in WSN by enhancing the CSMA/CA protocol (slotted ALOHA). A Master Node, which is assumed to be synchronized with GPS (Global positioning System), deployed in the network. The nodes in a cluter synchronized their local clock with master node using NTP. The proposed solution features minimal energy consumption, minimal packet loss and achieve better throughput.
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