scholarly journals An efficient energy aware link stable multipath routing protocol for mobile ad hoc networks in urban areas

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.

Author(s):  
Anubhuti Mohindra ◽  
Charu Gandhi

Background & Objective: Mobile ad hoc networks are defined as highly dynamic, leading to frequent disconnections and changing topologies. The energy and stability of power limited nodes needs to be managed while designing the protocol & clustering helps in reducing the problem of network congestion due to information overhead in large sized networks. Multipath routing helps in balancing the load and node failures in a dynamic environment thereby helping to solve the problem of congestion. This paper proposes a new multipath, energy-aware and stable routing protocol – Weighted Multipath Energy-aware Clustered Stable routing protocol (WMECS). Methods: It uses weighted approach in clustered mobile adhoc networks. In this, both cluster head as well as path selection is done using an optimal energy and mobility model. This helps in attaining stable and energy efficient network with prolonged lifetime. The energy model considers energy metrics like transmission power, drain rate and power load that helps in constructing a network with lower energy consumption. We have also considered Gauss-Markov Mobility Model to handle the mobility of nodes and attain a stable network with less re-clustering and re-affiliations by choosing low relative mobility nodes in every cluster. Multipath selection is done based on a weighted metric that considers energy and mobility coefficients whereas Optimal Paths are selected on the basis of lower weight. Results: Simulation results show that the proposed protocol has better performance when compared with other related protocols in terms of Energy Consumption, Network Lifetime and end to end delay.


Author(s):  
Priyanka Bharadwaj ◽  
Surjeet Balhara

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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