Energy Efficient Multicast Algorithm of Demand Routing Protocol for Adhoc Networks

2017 ◽  
Vol 7 (5) ◽  
pp. 607-610
Author(s):  
Shishu Pal Singh ◽  
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Adhoc Networks ◽  
Demand Routing

scholarly journals Abstract ACO-EEAODR: An Ant-Swarm Inspired Energy-Efficient Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

2021 ◽  
Author(s):  
Waqas Shah
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Minimum Energy ◽  
Sustainable Growth ◽  
Energy Aware ◽  
On Demand ◽  
Demand Routing

As the world’s economic activities are expanding, the energy comes to the fore to the question of the sustainable growth in all technological areas, including wireless mobile networking. Energyaware routing schemes for wireless networks have spurred a great deal of recent research towards achieving this goal. Recently, an energy-aware routing protocol for MANETs (so-called energy-efficient ad hoc on-demand routing protocol (EEAODR) for MANETs was proposed, in which the energy load among nodes is balanced so that a minimum energy level is maintained and the resulting network lifetime is increased. In this paper, an Ant Colony Optimization (ACO) inspired approach to EEAODR (ACO-EEAODR) is proposed. To the best of our knowledge, no attempts have been made so far in this direction. Simulation results are provided, demonstrating that the ACO-EEAODR outperforms the EEAODR scheme in terms of energy consumed and network lifetime, chosen as performance metrics.

EEAODR: An energy-efficient ad hoc on-demand routing protocol for mobile ad hoc networks

2009 ◽  
Vol 22 (7) ◽  
pp. 789-817 ◽  
Author(s):  
Sanjay Kumar Dhurandher ◽  
Sudip Misra ◽  
Mohammad S. Obaidat ◽  
Vikrant Bansal ◽  
Prithvi Raj Singh ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Ad Hoc ◽  
On Demand ◽  
Mobile Ad Hoc ◽  
Demand Routing ◽  
Hoc Networks

A Mobility Based Pdorp Routing Protocol Based Upon Gradient Matrix

2017 ◽  
Vol 7 (7) ◽  
pp. 272
Author(s):  
Mandeep Singh ◽  
Rekha Bhatia
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Development Stage ◽  
Course Development ◽  
Single Node ◽  
Water Drops ◽  
Demand Routing ◽  
Set Up ◽  
Route Request

PDORP is one of the heuristic enhancement technique and a subset subject of swarm knowledge. PDORP depends on recreating the idea of how water drops consolidate to shape waterways and streams thusly join to join the Sea by choosing the most limited way in light of heights of the land through which they stream. The basic approach of this protocol (and all other on-demand routing protocols) amid the course development stage is to set up a course by flooding Route Request parcels in the system. The objective center point, on tolerating a Route Request distribute, by sending a Route Reply package back to the source, which passes on the course explored by the Route Request package got. In the proposal an approach is defined for energy efficiency and reduction in data dropped in the WSN network. In PDORP algorithm a subset is defined, in which if a single node in that subset is died out then the whole subset have to be replaced.  A modification in the PDORP algorithm is made to achieve the objectives of the research in which an energy threshold set for each node. In case of the proposed approach with the low energy in the subset of network the neighbor nodes of the subset can cover the area of the died node. The proposed approach is defined on the basis of Ant Colony Optimization using which the algorithm become more energy efficient. In this way the data dropped due to the replacement of the subset may be reduced so there is a reduction in the energy dissipation.

scholarly journals Abstract ACO-EEAODR: An Ant-Swarm Inspired Energy-Efficient Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

2021 ◽  
Author(s):  
Waqas Shah
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Minimum Energy ◽  
Sustainable Growth ◽  
Energy Aware ◽  
On Demand ◽  
Demand Routing

As the world’s economic activities are expanding, the energy comes to the fore to the question of the sustainable growth in all technological areas, including wireless mobile networking. Energyaware routing schemes for wireless networks have spurred a great deal of recent research towards achieving this goal. Recently, an energy-aware routing protocol for MANETs (so-called energy-efficient ad hoc on-demand routing protocol (EEAODR) for MANETs was proposed, in which the energy load among nodes is balanced so that a minimum energy level is maintained and the resulting network lifetime is increased. In this paper, an Ant Colony Optimization (ACO) inspired approach to EEAODR (ACO-EEAODR) is proposed. To the best of our knowledge, no attempts have been made so far in this direction. Simulation results are provided, demonstrating that the ACO-EEAODR outperforms the EEAODR scheme in terms of energy consumed and network lifetime, chosen as performance metrics.

A New Energy-Efficient On-Demand Routing Protocol for Green Wireless Mesh Networks

2013 ◽  
Vol 756-759 ◽  
pp. 2275-2280
Author(s):  
Yin Peng Yu ◽  
Yu Huai Peng ◽  
Lei Guo ◽  
Meng Song
Keyword(s):  
Wireless Mesh Networks ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Mesh Networks ◽  
Green Energy ◽  
Energy Utilization ◽  
Energy Depletion ◽  
Wireless Mesh ◽  
New Energy ◽  
Demand Routing

In order to solve the green energy saving problem with the wireless routing technology, a new energy-efficient survivable routing protocol, called Energy-efficient Survivable AODV (ES-AODV) for unicast demand in green Wireless Mesh Networks (WMNs), is proposed in this paper. The routing protocol uses the hop penalty strategy and flooding delaying strategy to improve the performances of traditional AODV routing protocol. This paper uses QualNet to simulate and verify the performances of proposed ES-AODV. The simulation results show that, compared with the traditional AODV, the energy utilization of ES-AODV is more efficient than AODV by 13%. At the same time, ES-AODV is more load-balancing to reduce the number of energy depletion nodes and postpone the appearance of the first energy depletion node, and thus it effectively improves the network survivability.

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