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This paper introduces an innovative clustering protocol of load balancing which divides the whole network to the virtual circle with variable radiuses. The authors’ protocol uses an innovative architecture in intra cluster communication. In this protocol, radius of each virtual circle and the size of each cluster will increase with the increasing distance from the base station, in such way that cluster...
Dynamic phenomena such as oil spills, mud flow, diffusion or leakage of gases in the environment are characterized by non-deterministic variations in shape, size and direction of motion. Due to the absence of any well defined model for tracking their dynamics, the detection and tracking of such phenomena through Wireless Sensor Networks (WSNs) is very challenging. Most of the existing works consider...
This paper presents a new cluster based routing protocol for Wireless Sensor Networks called Energy Based Clustering Self organizing map (EBCS). This new protocol can cluster sensor nodes based on multiple parameters; their energy level and coordinates, through using Self Organizing Map neural network capability in multi dimensional data clustering. Energy based clustering can form energy balanced...
The recent interest in Wireless Sensor Networks has led to a number of clustering algorithms that use the limited energy available at sensors more efficiently. In this article, we present a heritable clustering algorithm based on HEED for low energy wireless sensor network. It brings in appointment mechanism to reduce the cluster head reelect overhead efficiently. In the cluster, TDMA communication...
Compared with the traditional wireless networks, wireless sensor networks have energy constraints, low-data-rate of high redundant and data flow of high-to-one, and so on. Energy effectiveness is the key performance indicators of wireless sensor networks. Based on the analysis of energy management strategy in the wireless sensor networks, the main factors affecting energy consumption are: perceptual...
Communicating extensive in-network data generated by resource-constrained wireless sensor nodes is an energy consuming process. To minimise the amount of data exchanged in sensor networks, several researchers have proposed novel and efficient protocols to perform data aggregations, clustering or regression on sensor nodes. Most of these approaches focus on optimising conventional mining techniques...
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