19,516 research outputs found

    Compare Three Reactive Routing Protocols In Grid Based Clusterwireless Sensor Network Using Qualnet Simulator

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    This paper is comparingthe performance of three different routing protocols in grid based clustering for wireless sensor network. Sensor network iskeeping limited energy of sensor nodesand limited battery power. However the main task of sensor network energy consumption for sensor nodes. Furthermore grid based sensor working depend on location based that is divided into different parts. In grid based wireless sensor network, cluster head it works like a base station. Cluster zones are collecting all information that is passing through sensor nodes. In this paper, three routing protocols AODV ( Ad-hoc on demand distance vector routing),  DYMO (Dynamic Manet on demand routing ) and DSR (Dynamic source routing) are analyzed and compared by using Qualnet simulator on the basis of performance metrics such as energy consumption in transmit mode, receive mode, idle mode, and residual battery capacity. Key words- wireless sensor network, IEEE 802.15.4, Routing protocols (AODV, DYMO, DSR), Qualnet 5.2 simulator, CBR

    AM-DisCNT: Angular Multi-hop DIStance based Circular Network Transmission Protocol for WSNs

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    The nodes in wireless sensor networks (WSNs) contain limited energy resources, which are needed to transmit data to base station (BS). Routing protocols are designed to reduce the energy consumption. Clustering algorithms are best in this aspect. Such clustering algorithms increase the stability and lifetime of the network. However, every routing protocol is not suitable for heterogeneous environments. AM-DisCNT is proposed and evaluated as a new energy efficient protocol for wireless sensor networks. AM-DisCNT uses circular deployment for even consumption of energy in entire wireless sensor network. Cluster-head selection is on the basis of energy. Highest energy node becomes CH for that round. Energy is again compared in the next round to check the highest energy node of that round. The simulation results show that AM-DisCNT performs better than the existing heterogeneous protocols on the basis of network lifetime, throughput and stability of the system.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc

    Energy-aware routing protocols in wireless sensor networks

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    Saving energy and increasing network lifetime are significant challenges in the field of Wireless Sensor Networks (WSNs). Energy-aware routing protocols have been introduced for WSNs to overcome limitations of WSN including limited power resources and difficulties renewing or recharging sensor nodes batteries. Furthermore, the potentially inhospitable environments of sensor locations, in some applications, such as the bottom of the ocean, or inside tornados also have to be considered. ZigBee is one of the latest communication standards designed for WSNs based on the IEEE 802.15.4 standard. The ZigBee standard supports two routing protocols, the Ad hoc On-demand Distance Vector (AODV), and the cluster-tree routing protocols. These protocols are implemented to establish the network, form clusters, and transfer data between the nodes. The AODV and the cluster-tree routing protocols are two of the most efficient routing protocols in terms of reducing the control message overhead, reducing the bandwidth usage in the network, and reducing the power consumption of wireless sensor nodes compared to other routing protocols. However, neither of these protocols considers the energy level or the energy consumption rate of the wireless sensor nodes during the establishment or routing processes. (Continues...)

    A new QoS routing algorithm based on self-organizing maps for wireless sensor networks

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    For the past ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore and compare the performance of two very well known routing paradigms, directed diffusion and Energy- Aware Routing, with our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

    Using artificial intelligence in routing schemes for wireless networks

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    For the latest 10 years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well-known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

    Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks

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    For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, selforganizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

    Energy Efficient Scheme for Wireless Sensor Networks

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    Recent advances in wireless sensor networks have commanded many new protocols specifically designed for sensor networks where energy awareness is an important concern. This routing protocols might differ from depending on the application and the network architecture. To extend the lifetime of Wireless sensor network (WSN), an energy efficient scheme can be designed and developed via an algorithm to provide reasonable energy consumption and network for WSN. To maintain high scalability and better data aggregation, sensor nodes are often grouped into disjoint, non-overlapping subsets called clusters. Clusters create hierarchical WSNs which incorporate efficient utilization of limited resources of sensor nodes to reduce energy consumption, thus extend the lifetime of WSN. The objective of this paper is to present a state of the art survey and classification of energy efficient schemes for WSNs. Keywords: Wireless Sensor Network, clustering, energy efficient clustering, network lifetime, energy efficient algorithms, energy efficient routing, and sensor networks. DOI: 10.17762/ijritcc2321-8169.15024

    An Energy E cient Routing Protocol for extending Lifetime of Wireless Sensor Networks by Transmission Radius Adjustment

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    Wireless Sensor Networks needs energy e cient routing protocols for increasing the network lifetime. e en- ergy consumption of sensor nodes can be decreased by reducing the transmission radius range. In this proposed work an Energy E cient Routing Protocol (EERP) is developed for wireless sensor network by adjusting the node transmission radius and conserves the node energy. EERP follows on demand routing method for packet forwarding from source to destination. When the node’s energy reaches certain threshold then node reduces its transmission radius again in order to achieve less energy consumption under the circumstance. e trans- mission range distribution optimizations for networks are developed in order to obtain the maximum lifetime. Analysis of the solution shows that network lifetime improvement can be obtained through optimization comes at the expense of energy-ine ciency and a wasting of system resources. e simulation results shows that EERP protocol outperforms the existing routing protocols in terms of network lifetime, energy consumption and has a balanced network load and routing tra c

    An Energy E cient Routing Protocol for extending Lifetime of Wireless Sensor Networks by Transmission Radius Adjustment

    Get PDF
    Wireless Sensor Networks needs energy e cient routing protocols for increasing the network lifetime. e en- ergy consumption of sensor nodes can be decreased by reducing the transmission radius range. In this proposed work an Energy E cient Routing Protocol (EERP) is developed for wireless sensor network by adjusting the node transmission radius and conserves the node energy. EERP follows on demand routing method for packet forwarding from source to destination. When the node’s energy reaches certain threshold then node reduces its transmission radius again in order to achieve less energy consumption under the circumstance. e trans- mission range distribution optimizations for networks are developed in order to obtain the maximum lifetime. Analysis of the solution shows that network lifetime improvement can be obtained through optimization comes at the expense of energy-ine ciency and a wasting of system resources. e simulation results shows that EERP protocol outperforms the existing routing protocols in terms of network lifetime, energy consumption and has a balanced network load and routing tra c
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