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The clustering in the Wireless Sensor Networks (WSN) is one of the most important investigation areas. There are many cluster head selection algorithms which were developed before today. These algorithms were developed to 2D and 3D spaces, WSN with fixed and mobile sensor nodes. The main goal of all of developed algorithms is the energy consumption decreasing and WSN life-time increasing. The new...
In this paper we propose a new clustering based data gathering mechanism for large scale wireless sensor networks. Our proposed mechanism first stores the locations of the sensors by GPS information and then sends a mobile data-collector (which can be an autonomous robot or a vehicle equipped with a transceiver and battery) which can move into the whole sensing field like a movable base station and...
Wireless sensor networks are a family of networks in wireless communication system and have the potential to become significant subsystem of engineering applications. In view of the fact that the sensor nodes in wireless sensor networks are typically irreplaceable, this type of network should operate with minimum possible energy in order to improve overall energy efficiency. Therefore, the protocols...
In this paper, a cluster-based data gathering algorithm ECDGA for mobile wireless sensor networks is proposed. Network model includes mobile nodes and fixed nodes. The former constructs cluster by self-organizing according to the distance between the fixed nodes nearby and themselves. The latter selects cluster head in accordance with the residual energy and location of the mobile nodes around, and...
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