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WSNs are composed of sensors that collect, process, and send data to a sink. To communicate, sensors use a shared medium. Thus, a robust MAC layer protocol has to be implemented for transmission management. This paper presents a QoS based WSNs MAC protocol that ensures service differentiation and less energy consumption. It is based on a duty-cycle approach that combines TDMA and CSMA/CA schemes....
When developing critical and complex systems, the analysis and the performance evaluation of the designed system is a challenging task. Wireless Sensor Networks (WSNs) are examples of such systems. A WSN consists of a large amount of distributed nodes which monitor physical or environmental conditions. In this paper, we address the problem of how WSNs must be designed to have good performances in...
This paper reports the power consumption and resource utilization of a trust and reputation model deployed in a wireless sensor network (WSN). The impact of sensor augmentation parameter for static and dynamic WSN with trust and reputation models has been examined. In particular, we present a novel WSN framework-based investigations on peer trust and linguistic fuzzy trust model (LFTM) for trust and...
For the features of wireless sensor network, this paper puts forward an ant colony optimization-based wireless sensor network routing algorithm. According to WSN routing strategy and ant colony optimization features, this paper establishes artificial ant, designs ant colony optimization-based routing algorithm framework, theoretically analyzes algorithm convergence and verifies NS simulation platform...
Wireless Sensor Networks (WSNs) are used for monitoring and data collection purposes. A key challenge in effective data collection is to schedule and synchronize the activities of the nodes with global clock. This paper proposes the Synchronized Data Aggregation Algorithm (SDA) using spanning tree mechanism. It provides network-wide time synchronization for sensor network. In the initial stage algorithm...
Energy consumption represents a key element in the Wireless Sensor Networks (WSNs) design. Several factors can cause energy over consumption such as mobility, node position (relay or gateway), retransmissions... The network topology can also be a major cause of energy waste: a transmission in 1-hop requires a high energy, a transmission in K-hops requires a lower energy, even though, it can damage...
Wireless Sensor Network (WSN) with maximum coverage, minimum energy consumption and guaranteed connectivity can be achieved through an optimum sensor node placement scheme. A sensor node placement algorithm that utilizes Multi-objective Territorial Predator Scent Marking Algorithm (MOTPSMA) is presented in this paper. The MOTPSMA deployed in this paper uses the minimum uncovered area and minimum energy...
The lifetime of the Wireless Sensor Network (WSN) depends upon the available battery power and generally this battery power is non-rechargeable. When the battery of the nodes gets empty they will directly eliminated from the network operation. In this paper we are providing one scheme which is combination of various different schemes and integrating it with the AODV routing algorithm. Our proposed...
Cluster based routing technique is most popular routing technique in Wireless Sensor Networks (WSNs). Due to varying need of WSN applications efficient energy utilization in routing protocols is still a potential area of research. In this research work we introduced a new energy efficient cluster based routing technique. In this technique we tried to overcome the problem of coverage hole and energy...
The simulation is nowadays one of the most widespread instruments for analyzing the Wireless Sensor Networks (WSNs). Unfortunately, the most widespread WSN simulators today have only the basic model for the battery, which does not account many of the important real-life hardware dependences. Therefore in the paper we are suggesting a novel approach to modeling the energy consumption for battery-powered...
Energy consumption in wireless sensor networks (WSN) was always a basic constraint to respect. But, with the appearance of Wireless Multimedia Sensor Networks (WMSN), another basic constraint comes from added, which is the traffic performance in terms of delay, throughput, and Packet Delivery Rate (PDR). The choice of channel access method can help us to better respond the two constraints in WMSN...
The lifetime of a sensor node depends on its energy consumption. In order to achieve efficient use of the energy and extend the network's lifetime, this paper discusses the routing algorithm, focusing on the algorithm of SPIN. In the light of the problem of “blindly forward” and “data unaccessible” in SPIN, a new routing algorithm called SPIN-I is proposed, and we simulate it from two aspects with...
Limited energy sources of nodes in wireless sensor networks require a careful consideration of energy consumption of all processes during the sensors deployment. To analyze energy consumption and to predict a lifetime of a network, a comprehensive energy model based on commercial products is necessary. Therefore, we have focused on the analysis of energy consumption during RF communication with particular...
Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems...
As sensor nodes are typically powered by non-renewable batteries, energy efficiency is a critical factor in wireless sensor networks (WSNs). And prolonging the lifetime for nodes and the total network is a critical issue. In this paper, a combination weight energy balance clustering and routing algorithm (CW-EBCR) is proposed. This algorithm takes into consideration the following elements: the node...
The energy constraint bottleneck in the wireless sensor networks (WSN) exist objectively. To reduce energy consumption and ensure the Quality of Service (QoS) in data transmission, a method of solving the QoS multicast routing in WSN by quantum particle swarm optimization algorithm (QPSO). The algorithm is based on PSO, quantum-bit, principle of superposition and quantum gates. By the premise of avoiding...
To save their energy, sensors spent most of their life in sleeping mode waking up for short intervals to achieve any required tasks. While performing their sensing and communicational obligations to the network and due to the random nature of sleep and awake cycles, sensors are usually assigned different workloads which in turn consume their energy unevenly. Eventually, the energy of those heavily...
This paper presents a method of priority-based lowpower task scheduling in wireless sensor network. The nonlinearity and recovery effect of the battery is exploited. We define a super-period and frame of the tasks, and explain the proposed algorithm. Our experiment results show that this algorithm reduces the consumed energy of all tasks effectively, and extends the node's lifetime.
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