LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...

Clustering provides an efficient management method and energy balancing scheme for ad-hoc sensor networks. Cluster head is the most important role in a cluster and it acts as a local data coordinator and maintains cluster information. Once malicious nodes or lower energy nodes are selected as cluster heads, the system would be greatly affected. Thus selection of trusted cluster heads with prope...

In Wireless Sensors Networks (WSNs), researcher's primary focus is on energy preservation and prolonging network lifetime. More energy resources are required in case of remote applications of WSNs, where during active network stage some of the nodes die early, that shortens the network lifetime and decreases the stability of the network. It is mainly caused due to the non-optimal Cluster Heads ...

Unsupervised competitive learning algorithms for clustering of sensor nodes in wireless sensor networks are evaluated with a large scale data set in this paper. The Centroid Neural Network (CNN) is compared with Fuzzy c-Means (FCM) algorithm in determining cluster heads among given sensor nodes. The cluster heads are combined with Low Energy Adaptive Clustering Hierarchy (LEACH) for minimizing ...

2 Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. This paper proposes a Self Organizing Sensor (SOS) network based on an intelligent clustering algorithm which does not require many user defined parameters and random select...

Cognitive radio sensor network (CRSN) is an intelligent and reasonable combination of cognitive radio technology and wireless sensor networks. It poses significant challenges to the design of topology maintenance techniques due to dynamic primary-user activities, which in turn decreases the data delivery performance of the network as well as it’s lifetime. This paper aims to provide a solution ...

Wireless sensor nodes are typically powered by non-rechargeable batteries and deployed in an area of interest to supervise or monitor various phenomena (temperature, pressure, humidity...). So, constrained energy is the most important feature of wireless sensor networks (WSNs). In WSNs, saving energy and extending network lifetime are great challenges. Clustering is a key technique used to opti...

Energy resource limitation is a severe problem in traditional wireless sensor networks (WSNs) because it restricts the lifetime of network. Recently, the emergence of energy harvesting techniques has brought with them the expectation to overcome this problem. In particular, it is possible for a sensor node with energy harvesting abilities to work perpetually in an Energy Neutral state. In this ...

WSNs are typically composed of large number of tiny sensors that are capable of sensing, processing and transmitting data via wireless links. Sensor nodes collaborate in a distributed and autonomous manner to accomplish a certain task, with no infrastructure. Power efficiency and fault tolerance are essential properties to keep the network functioning of energy depletion, communication link err...

Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. This paper proposes a Self Organizing Sensor (SOS) network based on an intelligent clustering algorithm which does not require many user defined parameters and random selectio...