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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...

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...

Wireless sensor networks (WSNs) are being envisioned for certain applications like habitat monitoring and environmental sensing. Wireless sensors are deployed to achieve network load balancing, prolonging network lifetime, and improving network coverage. To achieve these goals, energy estimation is one of the main constraints and concerns to consider, while deploying wireless sensors in a WSN f...

In Wireless Sensor Network (WSN) to enhance the network lifetime it’s a fundamental challenge. To enhance the network lifetime, the area around the sink node forms a bottleneck zone due to the heavy traffic flow which limits the network lifetime in WSN. To improve the energy efficiency of the bottleneck zone which leads to overall improvement of network lifetime by considering low duty cycled W...

Lifetime of a sensor network is defined as the time after which certain fraction of sensor nodes run out of their batteries, resulting in a routing hole within the network. We develop a mathematical model for the lifetime of a sensor network when the data generation events within the network are spatially and temporally independent. Using this lifetime model, we introduce an efficient routing s...

In this paper, we focus on maximizing the network lifetime of wireless sensor networks using both maximum lifetime routing algorithm and smoothing function. An optimal routing and data aggregation scheme for wireless sensor networks is proposed. The objective is to maximize the network lifetime by jointly optimizing data aggregation and routing by adopting a model to integrate data aggregation ...