An efficient energy-aware predictive clustering approach for vehicular ad hoc networks

2015 ◽  
Vol 30 (2) ◽  
pp. e2924 ◽  
Author(s):  
Rasmeet S. Bali ◽  
Neeraj Kumar ◽  
Joel J.P.C. Rodrigues
Computers ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Abdallah Sobehy ◽  
Eric Renault ◽  
Paul Muhlethaler

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).


2020 ◽  
Vol 12 (1) ◽  
pp. 2-7
Author(s):  
Benatia Eddine ◽  
Omar Smail ◽  
Boudjelal Meftah ◽  
Mohammed Rebbah ◽  
Bernard Cousin

Ad Hoc wireless mobile networks are characterized by a lack of central administration and the fact that any element of the network, being very mobile, is susceptible to disappear. In an Ad Hoc network, all the elements must cooperate in order to establish a temporary network to communicate. This communication is affected by the links stability mainly in a restricted environment such as a city and the depletion of the batteries energy of the nodes. These factors degrade the ad hoc networks performance. We propose in this paper a stable routing protocol with weak energy consumption for urban areas in order to improve these performances. The proposed solution is a multipath protocol named ESMRua (Efficient energy aware and Link Stable Multipath Routing Protocol in urban areas). ESMRua uses a path selection scheme based on energy constraint, signal quality and link stability. For the link stability, three calculation variants are used. ESMRua will be designed for realistic mobility, contrary to the main existing protocols which are designed to the random mobility models; these models have unrealistic behaviors such as a brusque acceleration and a sudden stop. Simulation results show that our multipath protocol enhances the performance of the ad hoc networks, mainly in terms of routing overhead, energy consumption and network reliability.


2018 ◽  
Vol 19 (5) ◽  
pp. 1401-1414 ◽  
Author(s):  
Mengying Ren ◽  
Jun Zhang ◽  
Lyes Khoukhi ◽  
Houda Labiod ◽  
Veronique Veque

2018 ◽  
Vol 7 (3.12) ◽  
pp. 841
Author(s):  
T Santhi Sri ◽  
J Rajendra Prasad ◽  
R Kiran Kumar

In mobile ad hoc networks {MANET}, power or energy consumption is a complex representation to define extensive communication between different nodes. To define energy routing scenario with respect to efficient energy maintenance to decrease the over burden of the protocol hierarchy wireless communication. To achieve these goals, a Synchronization-based Efficient Energy (SEE) calculation is supported along with the position opportunistic routing protocol previously to reduce overhead burden of server to maintain efficient energy. It consists distributed and random nature in which node consists local communication by facilitate packet transmitting in between different intermediate nodes based on backward communication. Because of random routing scenario of ad hoc networks, maintenance of capacity of each node for relay configuration at each node is a complex task. Due to that further extension of SEE, we introduce Collaborative & Efficient Energy Aware Distributed (CEEAD) approach, which consists routing representation in energy awareness scenario for wireless networks and it also supports cluster head representation of each node based on its random changes of power consumption in network communication. Our proposed approach consists cluster connectivity at each node because random routing process for wireless ad hoc networks. Our experimental results show effective increasing of network life time with scalable data communication in wireless networks.   


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