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Present research work propose the design of a low energy and high throughput, hierarchical clustering based routing protocol for smart home sensor network application. Proposed protocol perform dynamic cluster head selection based on multiple node characteristics like node residual energy, node distance from sink and node average distance from neighbour nodes. Cluster head distribution is even and...
The proposed work aims at designing routing method and data compression algorithm for WSN's. An ad-hoc network (WANET) is considered and based on certain criteria the data is forwarded dynamically. Various parameters such as Compression Ratio, Packet Delivery Rate, Energy consumption are considered to determine the efficiency of the network. One of the primary parameters to be considered in the configuration...
The energy consumption is one of the main problems which remain to be addressed in wireless sensor networks (WSNs). Therefore, in recent years several clustering routing protocols for homogeneous and heterogeneous sensor networks have been proposed since these protocols are playing a key role in reducing energy consumption of the WSNs. A new Multi-Level Energy-Efficient Clustering (MLEEC) heterogeneous...
Data gathering in an energy efficient and timely manner is the fundamental task of Wireless Sensor Network (WSN). The battery operated sensor nodes are of limited energy and it is necessary to preserve their battery power to elongate the lifetime of WSN. In Hierarchical Routing Protocol (HRP) some nodes transmit data to BS which is more energy intensive task while others are engaged in local communications...
This study presents the effect of residual energy of nodes in Wireless Sensor Networks (WSNs). There are many issues and challenges that still need to be solved in this area especially for energy contrain. This factor considered during clustering and routing approached to maximize network lifetime. To prolong network lifetime, there is a need for efficient power control mechanisms to reduce power...
Wireless sensor networks have a most stimulating affair of Energy conservation. Different types of techniques were introduced to increase lifetime of network. Clustering is one of them to reduce energy consumption in network. This paper presents an idea of a novel protocol Multilevel Balanced Distributed Energy Efficient Heterogeneous Protocol (MBDEEHP) to create clustering in heterogeneous environment...
Underwater wireless sensor networks (UWSNs) are meant to be deployed at the areas that need to be monitored continuously without the human assistance. Therefore, these networks are expected to stay operational for a longer period of time. However, sensor nodes in these networks are equipped with limited energy (e.g., battery) resources. Moreover, uneven energy consumption is one of the biggest challenges...
I study and analyze the LEACH protocol for extending the stability period for energy-constrained wireless sensor networks. Stability period refers to the time interval of the network before the death of the first node which is very vital in lots of applications of Wireless Sensor Network where there is need of reliable feedback from the network for a long time. In LEACH, the cluster-head are randomly...
Design and development of adaptive, scalable and energy-efficient routing protocols for Wireless Sensor Networks (WSNs) is an active area of research. Many protocols and techniques have been proposed and implemented for energy efficient routing. In this research work, we present Bio inspired Distributed Energy Efficient Clustering (B-DEEC) protocol for WSNs. It is based upon Artificial Bee Colony...
Wireless sensor actor networks (WSANs) consist of a large amount of sensor nodes with low cost and little actor nodes with better processing capabilities. The actor nodes tend to get partitioned due to low actor density in case of economic considerations. So, the communication among actors requires sensor nodes to relay his data to the destination actor which lead to the bottleneck in communication...
Energy efficient Routing algorithms for wireless sensor network play a vital role among many other algorithms for improving lifetime of sensor network. Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the major hierarchical routing protocols for WSNs, in which cluster heads are randomly elected. In this paper, a Modified LEACH algorithm is proposed to maximize the lifetime of the network...
Wireless sensor networks can be deployed in normal as well as rough environment for data gathering fashion. Sensor nodes are more easy to failure because of their battery sources are irreplaceable. In Wireless Sensor networks (WSN), the sensors near to the sink will drain out of their energy first, resulting in holes in the WSNs. An important base for energy efficient routing technique in wireless...
Energy efficient protocol design for Wireless Sensor Networks (WSNs) is a very challenging task because of limited battery capacity of nodes. This necessity for energy efficient operation of a WSN has prompted the development of new protocols in all layers of the communication stack. Layer-wise utilization of densely deployed nodes to effectively prolong the overall network life is presented in this...
Wireless Body Area Networks (WBANs) are playing promising role in healthcare field by allowing remote monitoring of patients. In such networks, designing a energy efficient routing topology is of main concern. For this purpose, we propose CEMob, Critical data transmission in Emergency with Mobility support in WBANs, as a routing layer protocol. CEMob avoid continuous transmission of information, thereby,...
To overcome energy hole problem unequal clustering structures have been proposed for the aim of network stability. Energy hole avoidance remains as a challenging problem. Hexagons are an ideal shape for uniform random deployment of nodes in Wireless Sensor Networks (WSN), because clusters areas are seamlessly divided by the hexagons. In addition, regular hexagons have largest coverage area and covers...
This paper proposes a new dynamic strategy for selecting the optimal cluster head in Stable Election Protocol (SEP). The proposed strategy selects a node as cluster head if it has the maximum energy among all the available nodes in that particular cluster. The maximum energy is that which is calculated at running time of the WSN. The proposed strategy considers heterogeneous nodes and divides nodes...
Wireless Sensor Network (WN) offers variety of novel applications for mobile targets. It generates the large amount of redundant sensing data. The data aggregation techniques are extensively used to reduce the energy consumption and increase the network lifetime, although it has the side effect of reduced reliability. In the mobile environment, it is necessary to consider the techniques which minimize...
The quality-of-service (QoS) metrics in a wireless sensor network (WSN) of multiple sensor types depend on the performance of the network protocol layers, motivating a comprehensive cross-layer design approach to optimize QoS. Advances in energy-harvesting techniques enable increases in WSN lifetime by prolonging operation of the wireless nodes. While the primary objective of energy harvesting is...
Improving network lifetime and reliability are the fundamental challenges in Wireless Sensor Networks (WSNs). The main issue in events sensing and relaying in WSN is the formation of energy-holes near the sink. Nodes near the sink are more likely to use up their energy because they have to forward all the traffic generated by the nodes farther away to the sink. In this end, we proposed a routing algorithm...
In wireless sensor networks (WSNs), one major challenge is how to prolong the network lifetime while maintaining a certain data collection rate for resource-limited static sensors. To achieve this goal, many mobility-assisted data collection (MADC) schemes have been proposed in the literature. However, there is a lack of systematic analysis on the behaviors of the MADC models in terms of both throughput...
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