Optimized Self Organized Sensor Networks

Abstract

Abstract:Wireless sensor networks are composed of a huge number of sensor nodes, which have limited resources -energy, memory and computation power. Energies are directly related to the lifetime of sensor network. If sensor nodes can be grouped to clusters, cluster member sensor nodes only need to communicate with cluster center (head) and this leads to energy conservation of the member sensors. So, how to compose clusters with minimal number of cluster heads, while including each node in a cluster is an important research issue. We propose a new advanced optimization algorithm for sensor network clustering. Using the proposed optimization algorithm, redundant cluster heads are eliminated, and unnecessarily overlapped clusters are merged. Optimization algorithm can be used as a clustering algorithm by itself and also manage the dynamic changes like node addition or die-out, while the network is even on the working state. We tested the proposed method as a clustering algorithm and compared it with two other recent sensor network clustering algorithms, Algorithm for Cluster Establishment (ACE) and Self Organizing Sensor network algorithm (SOS). The experiments results not only illustrate that the proposed algorithm could result in clusters with smaller number of cluster heads than others with any density of sensor networks, but also that the performance is more stable, which is also verified through repeated experiments.

Images compression techniques for wireless sensor network applications

“…For this reason, image transfer presents major challenge which raises issues related to its representation, its storage and its transmission. Therefore, extensive research has focused on how to minimize the energy consumption and prolong the network lifetime Park et al (2007).…”

Availability and End-to-end Reliability in Low Duty Cycle MultihopWireless Sensor Networks

“…For energy efficiency, nodes may form clusters that use a dedicated node referred to as cluster head to transmit beacons [8, 9]. A cluster head is also responsible for routing and forwarding data from its member nodes to other clusters.…”

CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs

“…They propose approaches which make the minimal number of distinct clusters with a static communication distance. Park et al [9] also introduced methods which can maintain overlapped clusters. These methods have a limitation, however, because they do not consider the energy model and cannot measure actual energy efficiency.…”

“…Some clustering algorithms [9,18] utilize location information without considering the energy model. They propose approaches which make the minimal number of distinct clusters with a static communication distance.…”

“…Clustering is an important mechanism in energy-efficient routing protocol for WSNs [9]. In sensor network clustering, the network is divided into several clusters based on certain criteria, with each cluster managed by a cluster head (CH).…”