Priority Encoding-Based Cluster Head Selection Approach in Wireless Sensor Networks

Author(s):  
Pooja Chaturvedi ◽  
Ajai Kumar Daniel

Wireless sensor networks have gotten significant attention in recent times due to their applicability in diverse fields. Energy conservation is a major challenge in wireless sensor networks. Apart from energy conservation, monitoring quality of the environmental phenomenon is also considered a major issue. The approaches that addressed both these problems are of great significance. One such approach is node scheduling, which aims to divide the node set into a number of subsets such that each subset can monitor a given set of points known as targets. The chapter proposes a priority coding-based cluster head selection approach as an extension of the energy efficient coverage protocol (EECP). The priority of the nodes is determined on the basis of residual energy (RE), distance (D), noise factor (N), node degree (Nd), and link quality (LQ). The analytical results show that the proposed protocol improves the network performance by reducing the overhead by a factor of 70% and hence reduces the energy consumption by a factor of 70%.

2014 ◽  
Vol 989-994 ◽  
pp. 4273-4276
Author(s):  
Shi Ping Fan ◽  
Xiao Di Zhang ◽  
Hai Li Wang

In order to prolong the lifetime of wireless sensor networks, improvement of cluster-head selection mechanism based on LEACH protocol is proposed. To make the energy distribution more uniform, we consider the relationship of the density of nodes, residual energy of nodes and distance between nodes and Sink node. It eliminates the defect of energy consumption imbalance in the network caused by random position of cluster-heads and the problem of premature death of nodes caused by low energy nodes becoming cluster-heads. Simulation results show that compared with LEACH algorithm, the improved algorithm extend the network lifetime.


Author(s):  
Akhilesh Panchal ◽  
Rajat Kumar Singh

Wireless Sensor Networks (WSNs) are used for data collection from the surrounding environment using the enormous amount of sensor nodes. Energy saving is the most fundamental challenge of WSNs which primarily depends on the Cluster Head (CH) selection and packet routing strategy. In this paper, we are proposing an Energy Aware Distance-based Cluster Head selection and Routing (EADCR) protocol to extend the lifetime of WSN using the FCM technique, residual energy of the nodes, their relative Euclidean distances from the Base Station (BS) and cluster centroid. Since the nodes consume a considerable amount of energy during the clustering phase, thus to avoid this, here, we are introducing a new clustering approach where the CH selection is now based on the newly proposed fitness function. We are also providing a new strategy for packet routing using the shortest path technique for routing between node and its destination which reduces the energy consumption of the CHs by employing the multi-hop communication. We also save the energy of the nodes using their Euclidean distances among them, from their CH and from BS. The simulation results exhibit that the EADCR enhances the network lifetime as compared to the other similar algorithms, e.g., FCM, REHR, UCRA–GSO and CCA–GWO under different scenarios. It also saves the residual energy of the network and enhances the network coverage.


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