scholarly journals Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Inam Ullah Khan ◽  
Muhammad Abul Hassan ◽  
Mohammad Dahman Alshehri ◽  
Mohammed Abdulaziz Ikram ◽  
Hasan J. Alyamani ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Residual Energy ◽  
Base Station ◽  
Rapid Decline ◽  
Energy Aware ◽  
Remote Communication ◽  
Aerial Vehicles ◽  
Wide Range ◽  
Hoc Networks ◽  
High Level

In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV’s residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal.

scholarly journals Position Certainty Propagation: A Localization Service for Ad-Hoc Networks

Computers ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Abdallah Sobehy ◽  
Eric Renault ◽  
Paul Muhlethaler
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Resource Constraints ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Efficient Manner ◽  
Location Services ◽  
Wide Range ◽  
Hoc Networks

Location services for ad-hoc networks are of indispensable value for a wide range of applications, such as the Internet of Things (IoT) and vehicular ad-hoc networks (VANETs). Each context requires a solution that addresses the specific needs of the application. For instance, IoT sensor nodes have resource constraints (i.e., computational capabilities), and so a localization service should be highly efficient to conserve the lifespan of these nodes. We propose an optimized energy-aware and low computational solution, requiring 3-GPS equipped nodes (anchor nodes) in the network. Moreover, the computations are lightweight and can be implemented distributively among nodes. Knowing the maximum range of communication for all nodes and distances between 1-hop neighbors, each node localizes itself and shares its location with the network in an efficient manner. We simulate our proposed algorithm in a NS-3 simulator, and compare our solution with state-of-the-art methods. Our method is capable of localizing more nodes (≈90% of nodes in a network with an average degree ≈10).

scholarly journals LINK QUALITY, DELAY AND ENERGY AWARE ROUTING PROTOCOL (LQDEARP) FOR MOBILE AD HOC NETWORKS

2015 ◽  
pp. 212-217
Author(s):  
ARAFAT S.M. QAED ◽  
T. DEVI
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Residual Energy ◽  
Link Quality ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Routing Optimization ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Routing Optimization in mobile ad hoc networks is an ever-demanding task. Mobile ad hoc networks are highly dynamic topology natured and hence several routing protocols meet the challenge of link quality, delay and energy conscious routing. This paper proposes a link quality, delay and energy conscious routing approach based on ant colony optimization. Based on the estimated link quality, delay and residual energy of the nearby nodes, Adaptive node stability (ANS) mechanism is mathematically modeled to make the routing strategy. LQDEARP selects the efficient node based on the ANS mechanism and sends the data packets through that node. Simulation results proved that LQDEARP reduces delay and energy consumption and increases packet delivery ratio than that of the AODV and DECRP protocol.

scholarly journals Energy-aware ant colony optimization based routing for mobile ad hoc networks

2021 ◽  
Author(s):  
Ssowjanya Harishankar
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Energy Resource ◽  
Residual Energy ◽  
Energy Aware ◽  
Manet Routing ◽  
Mobile Ad Hoc ◽  
Hoc Networks

In mobile ad hoc networks, nodes are mobile and have limited energy resource that can quickly deplete due to the multi-hop routing activities, which may gradually lead to an un-operational network. In the past decades, the hunt for a reliable and energy-efficient MANET routing protocol has been extensively researched. In this thesis, a novel routing scheme for MANETs (so-called MAntNet) has been proposed, which is based on the AntNet approach. Precisely, the AntNet algorithm is modified in such a way that the routing decisions are facilitated based on the available nodes energy. Additionally, some energy-aware conditions are introduced in MAntNet and replicated in the conventional AODV routing protocol for MANETs. The resulting energy-aware M-AntNet (E-MAntNet) and energy-aware AODV(E-AODV) are analyzed using NS2 simulations. The results show that E-MAntNet performs significantly better than MAntNet and E-AODV both in terms of network residual energy and number of established connections in the network.

DELAY-ENERGY AWARE ROUTING PROTOCOL FOR HETEROGENEOUS WIRELESS AD HOC NETWORKS

2006 ◽  
Vol 07 (01) ◽  
pp. 37-49 ◽  
Author(s):  
ARJAN DURRESI ◽  
VAMSI PARUCHURI ◽  
MIMOZA DURRESI ◽  
LEONARD BAROLLI
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Packet Delay ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Wide Range ◽  
Energy Aware Routing ◽  
Hoc Networks

We present Delay-Energy Aware Routing (DEAP) a novel protocol for heterogeneous wireless ad hoc networks. DEAP is a crosslayer scheme that: first, manages adaptively the energy control by controlling the wakeup cycle of sensors based on the experienced packet delay; and second, rout packet in each hoc by distributing the load a group of neighboring nodes. The primary result of DEAP is that it enables a flexible and wide range of tradeoffs between the packet delay and the energy consumption. Therefore, DEAP supports delay sensitive applications of heterogeneous networks that include sensors and actors. DEAP is scalable to the change in network size, node type, node density and topology. DEAP accommodates seamlessly such network changes, including the presence of actors in heterogeneous sensor networks. Indeed, while DEAP does not count on actors, it takes advantage of them, and uses their resources when possible, thus reducing the energy consumption of sensor nodes. Through analysis and simulation evaluations, we show that DEAP improves the packet delay and network lifetime compared to other protocols.

An energy-degree evaluation metric for clustering purposes in mobile ad hoc networks

2019 ◽  
Vol 10 (02) ◽  
pp. 1950005
Author(s):  
Khalil Amine
Keyword(s):  
Ad Hoc ◽  
Network Connectivity ◽  
Residual Energy ◽  
Network Clustering ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Wide Range ◽  
Topology Information ◽  
Hoc Networks ◽  
Evaluation Metric

Network clustering is the process of partitioning a network into a number of virtual entities mastered by certain nodes, called cluster centers that are responsible for collecting and maintaining topology information and managing the routing processes. In ad hoc networking, clustering has been introduced to deal with the dynamic topology by providing a temporarily stable network core. Clustering process mainly depends on the metric upon which the selection of cluster centers is performed. A wide range of clustering metrics were introduced in the literature based on network issues including mobility and connectivity degree, giving rise to a variety of clustering schemes. Although clustering provides energy consumption reduction, residual energy has not received enough attention and few studies have addressed the clustering on the basis of this feature. This paper discusses the current clustering metrics and proposes an energy-degree evaluation metric with mobility consideration taking into account the nodes residual energy and the network connectivity as two main keys of clustering.

scholarly journals Energy-aware ant colony optimization based routing for mobile ad hoc networks

2021 ◽  
Author(s):  
Ssowjanya Harishankar
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Energy Resource ◽  
Residual Energy ◽  
Energy Aware ◽  
Manet Routing ◽  
Mobile Ad Hoc ◽  
Hoc Networks

In mobile ad hoc networks, nodes are mobile and have limited energy resource that can quickly deplete due to the multi-hop routing activities, which may gradually lead to an un-operational network. In the past decades, the hunt for a reliable and energy-efficient MANET routing protocol has been extensively researched. In this thesis, a novel routing scheme for MANETs (so-called MAntNet) has been proposed, which is based on the AntNet approach. Precisely, the AntNet algorithm is modified in such a way that the routing decisions are facilitated based on the available nodes energy. Additionally, some energy-aware conditions are introduced in MAntNet and replicated in the conventional AODV routing protocol for MANETs. The resulting energy-aware M-AntNet (E-MAntNet) and energy-aware AODV(E-AODV) are analyzed using NS2 simulations. The results show that E-MAntNet performs significantly better than MAntNet and E-AODV both in terms of network residual energy and number of established connections in the network.

scholarly journals Power Consumption for Routing Improvement using AODV_EXT & AODV_EXT_BP

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1639-1643
Keyword(s):  
Ad Hoc ◽  
Life Time ◽  
Residual Energy ◽  
Energy Aware ◽  
Effective Manner ◽  
Low Energy Consumption ◽  
Minimum Number ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
System Nodes

Basically, in Mobile Ad-hoc NETworks (MANETs), portable hubs are used to control the remote connections in a multiple way. So this system is based on the connection of hub, which transfers data from one packet to another packet. In proposed system, nodes connected to the hub will host the capacity of system.Because of this there will be no loss of communication. This will expand the life time of the network using imperative factors. The ad-hoc network gives minimum number of bounces after the routing process. Coming to energy aware routing protocol, it reduces the residual energy in effective way. In this paper AODV_EXT and AODV_EXT_BP protocols are proposed. The proposed protocols will be analyzed and produces results in effective manner compared to others. So, this system gives low energy consumption.

A Bandwidth and Energy Aware QoS Routing Protocol for Enhanced Performance in Ad-hoc Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 203-213
Author(s):  
Priyanka Bharadwaj ◽  
Surjeet Balhara
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Qos Routing ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Multimedia Services ◽  
Average Delay ◽  
Hoc Networks

Background & Objective: There are some challenging issues such as providing Quality of Service (QoS), restricted usage of channels and shared bandwidth pertaining to ad-hoc networks in a dynamic topology. Hence, there is a requirement to support QoS for the application environment and multimedia services in ad-hoc networks with the fast growing and emerging development of information technology. Eventually, bandwidth is one of the key elements to be considered. Methods: Energy aware QoS routing protocol in an ad-hoc network is presented in this article. Results and Conclusion: The simulation results indicate that the improved protocol outperforms Adhoc On-Demand Distance Vector (AODV) routing protocol in terms of QoS metric such as throughput, packet delivery ratio, loss rate and average delay.

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