Efficient Cluster Head Selection method with uniform clusters size to prolong the network lifetime of Wireless Sensor Network
نویسنده
چکیده
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Energy is the main constraint for nodes powered by batter, in Wireless Sensor Network (WSN), which can’t be replace latter once deployed. To extend the network lifetime, hierarchical routing is employed. In this paper we aim to improve network lifetime by using LEACH based protocol by considering residual energy and distance of nodes in WSN. We adopt dynamic clustering with dynamic selection of cluster heads in first round and static clustering with dynamic selection of cluster heads from second round. One more reason for network to die early is unbalance cluster size, to handle that number of nodes in the cluster is fixed to a predefined value. The protocol has been simulated in NS2 and results show improvement in energy efficiency i.e. Improved network lifetime, throughput, less packet drops and packet delivery ratio when compared to LEACH.
منابع مشابه
An Artificial Bee Colony Inspired Clustering Solution to Prolong Lifetime of Wireless Sensor Networks
It is very difficult and expensive to replace sensor node battery in wireless sensor network in many critical conditions such as bridge supervising, resource exploration in hostile locations, and wildlife safety, etc. The natural choice in such situations is to maximize network lifetime. One such approach is to divide the sensing area of wireless sensor network into clusters to achieve high ene...
متن کاملAn Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems
An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...
متن کاملEnergy Efficient Clustering and Cluster Head Rotation Scheme for Wireless Sensor Networks
Wireless sensor nodes are highly energy constrained devices. They have limited battery life due to various constraints of sensor nodes such as size and cost, etc. Moreover, most of the Wireless Sensor Network (WSN) applications render it impossible to charge or replace the battery of sensor nodes. Therefore, optimal use of node energy is a major challenge in wireless sensor networks. Clustering...
متن کاملAn Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks
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...
متن کاملEnergy-Saving in Wireless Sensor Networks Based on Optimization Sink Movement Control
A sensor network is made up of a large number of sensors with limited energy. Sensors collect environmental data then send them to the sink. Energy efficiency and thereby increasing the lifetime of sensor networks is important. Direct transfer of the data from each node to the central station will increase energy consumption. Previous research has shown that the organization of nodes in cluster...
متن کاملA New Method for Clustering Wireless Sensor Networks to Improve the Energy Consumption
Clustering is an effective approach for managing nodes in Wireless Sensor Network (WSN). A new method of clustering mechanism with using Binary Gravitational Search Algorithm (BGSA) in WSN, is proposed in this paper to improve the energy consumption of the sensor nodes. Reducing the energy consumption of sensors in WSNs is the objective of this paper that is through selecting the sub optimum se...
متن کامل