Wireless Sensor networks include large amount of low power, low priced sensor nodes generally deployed in hostile and harsh environment to sense, collect and transmit data to sink at far distance. Clustering has been widely studied to enhance the lifetime of WSN by reducing the number packet transmission. In clustering, the nodes selected as cluster head, often suffer from high overload and thus consume more energy. Re-clustering is eventually performed to talk about the resource intensive cluster head role, which requires global time synchronization. To handle this problem, some recent research has been considered in the field of the wireless sensor networks. The overall objective is to judge the various limitations of the sooner techniques. This paper ends up with the suitable future directions to boost the existing protocol further.
Now is the era of cloud computing and related buzzwords are the virtualization, resource sharing, Big Data. With the advent of new technologies, gadgets or simply IOT has enabled the advanced connectivity of devices, systems, and services and with this the data is being produced at an enormous rates from these devices be it form sensors, GPS data, log files from different sources etc. which is mostly unstructured data. With the acquaintance with NoSQL technology MongoDB is extensively used to handle all types of data because of its various advantages as its auto-load balancing technique in which the primary node's read load is decreased by distributing load to the secondary nodes, other feature of MongoDB is its auto sharding technique which works by reducing the load over a node by splitting up data in chunks and migrating it over to other nodes. The present work endeavors to study the role of MongoDB's auto balancing technique. In present work MongoDB balancer is introduced to and the performance of balancer of MongoDB for MongoDB clusters in distributed environment is examined. General TermsSMAC, BSON, CLI (Command Line Interface) of MongoDB, document based database.
Wireless Sensor network consists of large amount of low power sensor nodes generally deployed in hostile and harsh environment to sense, collect and transmit data to the sink situated at some distance. Clustering has been widely studied to enhance the lifetime of WSN by reducing the number of packet transmission. In clustering, the nodes selected as cluster head, often suffer from high overload and thus consume more energy. In this paper, we have proposed a new on demand Energy Consumption rate stable election protocol for heterogeneous WSN that uses an improved cluster head selection criteria. The improved selection criterion utilizes average remaining energy and average distance of each node which is not considered in existing protocols. Furthermore the proposed protocol being reactive improves the stability period and network lifetime. The experimental analysis depicts that the proposed algorithm has shown a significant improvement over ECRSEP.
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