Energy Efficient Reservation-Based Cluster Head Selection in WSNs

Due to the type of applications, wireless sensor nodes must always be inexpensive and small. Hence, the presence of constraints such as the limitation of energy resource is inevitable. So far, several studies have been carried out in order to present solutions for the reduction of energy consumption. In the meantime, clustering is given prime significance as an efficient method, which means partitioning network into distinct areas and is a way for managing nodes communication. In clustering algorithms, although the continuous execution of clustering phase and dynamic cluster head selection lead to energy consumption parity, they cause considerable energy dissipation due to the need for message transmitting to set new clusters and cluster heads. In this paper, the effect of using reservation to reduce message transmitting and energy dissipation has been studied. Reservation is the mechanism by the aid of which the number of communicated messages for the regular execution of clustering phase and cluster head selection can be reduced. The results of analysis and simulation show that the proposed method has significant impact on energy dissipation reduction.     

Energy Efficient Layered Cluster Head Rotation Based Routing Protocol for Underwater Wireless Sensor Networks

Energy efficiency is of paramount concern in underwater sensor networks. The very nature of underwater environment makes it difficult to deploy an energy efficient network that enhances network lifetime. The existing protocols of terrestrial networks cannot be implemented directly to underwater scenarios and as such new protocols have to be designed because of speed of signal propagation under water. Improving the energy efficiency in UWSNs is an active area of research and many protocols to that end have been proposed. The routing protocol that this paper proposes is Energy Efficient Layered Cluster Head Rotation (EE-LCHR) routing protocol. This protocol makes use of the multi sink architecture and creates virtual layers containing a number of sensor nodes such that the hop count from the sensor nodes in a particular layer to the surface sink is the same. Also each layer has a number of clusters with a cluster head that keeps on rotating depending on the fitness value of the sensor nodes. The proposed protocol as compared to other extant protocols like EE-DBR and DBR improves network lifetime. The presence of virtual layers and rotation of cluster heads together ensure that energy balance is better achieved in our proposed protocol which leads to an enhanced network lifetime.

     

An Energy Efficient Clustered Gravitational and Fuzzy Based Routing Algorithm in WSNs

Wireless Personal Communications - Wireless sensor networks consist of many tiny sensor nodes which are deployed in various geographical locations for sensing the normal spectacles and also to...     

RETRACTED ARTICLE: Research on Energy Saving Design of Intelligent Building Based on Genetic Algorithm

Generalized Multiprotocol Label Switching (GMPLS) networks is capable of allocating suitable route based on the size of the network and computational constraints. In this paper, we propose a connection provisioning strategy for updating the Traffic Engineering Database of Path Computation Element (PCE) in GMPLS optical networks. Control and management plane are used for resource optimization in PCE-based centralized network. We have also proposed connection provisioning for Label Switched Path (LSP) to optimize the resources and to maximize the connection establishment. For provisioning a connection with LSP requests, we have formulated the Integer Linear Programming and constraints to minimize the blocking of connections and network performance. The results obtained shows that the proposed strategy has better network resource utilization with minimum blocking of connections.     

An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems

Mobile Networks and Applications - Over the last few years, context-aware computing has received a growing amount of attention among the researchers in the IoT and ubiquitous computing community....     

An Efficient Energy Saving Sink Selection Scheme with the Best Base Station Placement Strategy Using Tree Based Self Organizing Protocol for IoT

Wireless Personal Communications - Wireless sensor networks using sink node increases the effectiveness in collecting data from various detecting and sensing fields. Sink node acts as an interface...     

Energy Efficient Dynamic Cluster Head and Routing Path Selection Strategy for WBANs

Wireless Personal Communications - In infrastructure-less wireless sensor networks, with the requirements of saving energy and improving the network throughput, this paper proposes a...     

RETRACTED ARTICLE: Video Face Detection Based on Deep Learning

Wireless Personal Communications - In recent years, with the development of Internet plus concept, online identity has become a major problem based on the continuous expansion of network...     

RETRACTED ARTICLE: K-Partitioned Smallest Distance Mining Tree for Path Optimation in Wireless Sensor Network

Wireless Personal Communications - In wireless sensor networks (WSN), energy efficiency is an important issue, since the sensor nodes act as both data originator and data router. The sink...     

EESSMT: An Energy Efficient Hybrid Scheme for Securing Mobile Ad hoc Networks Using IoT

Wireless Personal Communications - Mobile ad hoc networks are attaining popularity to its highest currently, as the users need wireless connectivity regardless of their geographical location....     

Design of Probability Density Function Targeting Energy Efficient Network for Coalition Based WSNs

Energy consumption is one of the important issues in wireless sensor network that rely on non chargeable batteries for power. Also, the sensor network has to maintain a desired sensing coverage area along with periodically sending of the sensed data to the base station. Therefore, coverage and the lifetime are the two important issues that need to be addressed. Effective deployment of wireless sensors is a major concern as the coverage and lifetime of any wireless sensor network depends on it. In this paper, we propose the design of a Probability Density Function (PDF) targeting the desired coverage, and energy efficient node deployment scheme. The suitability of the proposed PDF based node distribution to model the network architecture considered in this work has been analyzed. The PDF divides the deployment area into concentric coronas and provides a probability of occurrence of a node within any corona. Further, the performance of the proposed PDF is evaluated in terms of the coverage, the number of transmissions of packets and the lifetime of the network. The scheme is compared with the existing node deployment schemes based on various distributions. The percentage gain of the proposed PDF based node deployment is 32\(\%\) more than that when compared with the existing schemes. Thus, the simulation results obtained confirm the schemes superiority over the other existing schemes.     

Ant Colony Optimization and Excess Energy Calculations Based Fast Converging Energy Efficient Routing Algorithm for WSNs

Wireless Personal Communications - Wireless sensor networks (WSNs) find their application in as diverse fields as collection of data for weather forecasting to detection of enemy activities by...     

Energy Efficient Resource Migration Based Load Balance Mechanism for High Traffic Applications IoT

Wireless Personal Communications - Sound plays an important role in day to day life among all living organisms. It tells us about the environment, the characteristics of it, about people, place and...     

An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture

Wireless Personal Communications - Many agricultural activities can be highly enhanced by using sensor networks and data mining techniques. One of these activities is the regulation of the quantity...     

RETRACTED ARTICLE: Optimal Hop Selection Based Novel Trust Based DDoS Attack Removal Framework for Reliable and Secured Transmission of Data in VANETs

Wireless Personal Communications -     

Enhance Energy Conservation Based on Residual Energy and Distance for WSNs

As the advancements in the field of artificial intelligence technologies continue to grow, robots are being built by the researchers as an attempt to render services to the people. In this regard, the robots can communicate effectively with the people and be able to complete all the tasks adequately given to them. These service robots while being developed requires the dialogue services to be developed to interact effectively with human beings providing far better user experience. Thus, the robot been built can provide domain-specific knowledge as well as able to provide consultations in various domains. We in this paper adopted a service-oriented approach for developing context-aware communication services for the cloud robot. The proposed work aims at training the context-aware model developed. The context-aware model is responsible for answering the questions put forward by the users and possess the ability to exploit the answers corresponding to the questions presented. An integrated framework is used to combine the contextual information and communication services. The performance of the proposed model can be evaluated based on Inverse Rank Mean (IRM). Evolutionary testing methods are used for testing the data in the proposed model. The results thus obtained shows the effectiveness of the proposed approach.

     

基于能量效率的分布式星群下行链路功率分配方法研究

针对多波束卫星通信系统星上资源稀缺和能量利用效率不高的问题,本文提出了分布式星群网络下行链路中兼顾系统功耗和数据速率的功率分配方法,通过合理的资源分配来优化系统的能量效率.首先建立分布式星群功率分配模型,将复杂的分式问题转化为易于求解的减法形式问题,然后基于凸优化理论,提出功耗-数据速率权衡功率分配算法,并讨论了能量效率（energy efficiency）与频谱效率（spectral efficiency）之间的权衡关系.仿真结果验证了提出算法的有效性和EE-SE权衡关系,并分析了电路功耗对系统性能的影响.