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Development of Energy Efficient Protocol For AD HOC Networks


Affiliations
1 College of Computer and Information Sciences, Srinivas University, India
2 Sahyadri College of Engineering and Management, India
     

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The term adhoc network refers to a network that is created spontaneously, self-powered and infrastructure less networks. The energy in adhoc network does a crucial role in lengthening the network life span. The energy saving techniques in adhoc networks help to overcome the problem of link breakage. adhoc networks are generally used for specific scenarios, such as Earth Quakes, Military, Wild Life Monitoring, under water surveillance monitoring and disaster management. In this type of scenario, adhoc network nodes are located normally far away from each other and each node is independent in network and individually powered by batteries. So, Battery is the major constraint of this type of adhoc network. In an adhoc network, communication between nodes is possible by one another through forwarding packets and finding the paths to the destination by itself. Path selection in an adhoc network keeps in consideration energy usage, to increase the duration of the network. The selection of the optimal path can increase the duration of the network, if the highest leftover energy parameter is used to choose a path and a path with less hop count, the possibility of increase in network lifetime is more. The path selection is performed using the adhoc routing protocols and the AODV protocol has already been proven by researchers that it is appropriate for use in an adhoc network to increase battery efficiency and to lengthen the network life span. But, the AODV protocol has many disadvantages while determining the optimal path due to the reason, such as AODV protocol always tends to choose the shortest path without calculating the intermediary node residual energy, and then this leads to link breakage in the path. To overcome this drawback of the AODV protocol, we have designed a newly modified protocol called the Optimized Residual Energy Selection Adhoc On Demand Distance Vector (ORES-AODV) protocol, which selects the optimal path by calculating the average of maximum residual energy and by finding the average energy overhead of the intermediate nodes in the path and the mobility of the nodes are compared using mobility models. This protocol is 7% efficient than the other protocols proposed by taking AODV as the base protocol. Another Adhoc Network, the Wireless Sensor Network, has seen tremendous research in several years to solve the energy dissipation problem. To address the issue of energy waste in Wireless Sensor Networks, a new protocol called Modified Mobile-sinks-based Energy-efficient Clustering Algorithm (M-MECA) is introduced, which is based on mobile sink and clustering. The proposed protocol is compared with other protocols and the protocol developed is 6% efficient as evaluated with other protocols.

Keywords

Energy Saving, AODV protocol, Optimized Residual Energy Selection Adhoc on Demand Distance Vector, Mobile-sinks-based Energy-efficient Clustering Algorithm
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  • S. Suri and N. Mittal, “Improved Fuzzy based clustering algorithm for Wireless Sensor Networks”, Journal of Engineering and Applied Sciences, Vol. 12, No. 11, pp. 2996-3001, 2017.
  • N. Mittal and B.S. Sohi, “Mobility Based Application Specific Low Power Routing Protocol for Wireless Sensor Networks”, Proceedings of International Conference on Recent Advances in Engineering and Computational Sciences, pp. 1-6, 2015.
  • W. Heinzelman, A. Chandrakasan and H. Balakrishn, “An Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, Proceedings of Hawaii International Conference on System Sciences, pp. 802-806, 2000.
  • D.S. Kim and Y.J. Chung, “Self-Organization Routing Protocol Supporting Mobile Nodes for Wireless Sensor Network”, Proceedings of International Conference on Computer and Computational Sciences, pp. 622-626, 2006.
  • J.S. Lee and C.L. Teng, “An Enhanced Hierarchical Clustering Approach for Mobile Sensor Networks using Fuzzy Inference Systems”, IEEE Internet of Things Journal, Vol. 4, No. 4, pp. 1095-1103, 2017.
  • N. Mittal and U. Singh, “Distance-Based Residual Energy-Efficient Stable Election Protocol for WSNs”, Arabian Journal for Science and Engineering, Vol. 40, pp. 1637-1646, 2015.
  • N. Mittal and U. Singh, “A Stable Energy Efficient Clustering Protocol for Wireless Sensor Networks”, Wireless Networks, Vol. 23, No. 6, pp. 1809-1821, 2017.
  • V.N. Manh, T.C. Hung and L.D. Tam, “Improving Network Lifetime in Wireless Sensor Network using Fuzzy Logic-Based Clustering Combined with Mobile Sink”,
  • Proceedings of International Conference on Advanced Communication Technology, pp. 113-119, 2018.
  • A.B. Samer and F.R. Mohd, “Cluster based Routing Protocol for Mobile Nodes in Wireless Sensor Network”, Proceedings of 3rd International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, pp. 233-241, 2006.
  • N. Mittal and U. Singh, “A Novel Energy Efficient Stable Clustering Approach for Wireless Sensor Networks”, Wireless Personal Communications, Vol. 95, No. 3, pp. 2947-2971, 2017.
  • N. Mittal and U. Singh, “Harmony Search Algorithm Based Threshold-sensitive Energy Efficient Clustering Protocols for WSNs”, Ad Hoc and Sensor Wireless Networks, Vol. 36, No. 1-4, pp. 149-174, 2017.
  • N. Mittal and U. Singh, “A Boolean Spider Monkey Optimization Based Energy Efficient Clustering Approach for WSNs”, Wireless Networks, Vol. 24, No. 6, pp. 2093-2109, 2018.
  • N. Mittal and U. Singh, “An Energy Aware Cluster-based Stable Protocol for Wireless Sensor Networks”, Proceedings of International Conference on Neural Computing and Applications, pp 1-18, 2018.
  • M. Balachandra, K.V. Prema and K.Makkithaya, “Multiconstrained and Multipath QoS Aware Routing Protocol for MANETs”, Wireless Networks, Vol. 20, No. 8, pp. 2395-2408, 2014.
  • H. Xia, J. Yu and E.H.M. Sha, “Applying Trust Enhancements to Reactive Routing Protocols in Mobile Ad Hoc Networks”, Wireless Networks, Vol. 21, No. 1, pp. 1-14, 2015.
  • R. Logambigai and A. Kannan, “Fuzzy Logic based Unequal Clustering for Wireless Sensor Networks”, Wireless Networks, Vol. 22, No. 1, pp. 945-957, 2016.
  • J.C. Cano and P. Manzoni, “A Performance Comparison of Energy Consumption for Mobile Ad Hoc Network Routing Protocols”, Proceedings of International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 57-64, 2000.
  • H. Xiao and K.C. Chua, “A Flexible Quality of Service Model for Mobile Ad-Hoc Networks”, Proceedings of IEEE International Conference on Vehicular Technology, pp. 445-449, 2000.
  • S. Marti and M. Baker, “Mitigating Routing Misbehavior in Mobile Ad Hoc Networks”, Proceedings of Annual International Conference on Mobile Computing and Networking, pp. 255-265, 2000.
  • P. Michiardi and R. Molva, “Core: A Collaborative Reputation Mechanism to Enforce Node Cooperation in Mobile Ad Hoc Networks”, Proceedings of Annual International Conference on Advanced Communications and Multimedia Security, pp. 107-121, 2002.
  • S. Buchegger and J.Y. Le Boudec, “A Robust Reputation System for Peer-to-Peer and Mobile Ad-Hoc Networks”, Proceedings of International Conference on Advanced Communications, pp. 1-12, 2004.
  • A.A. Pirzada and C. McDonald, “Establishing Trust in Pure Ad-Hoc Networks”, Proceedings of Australasian Conference on Computer Science, pp. 47–55, 2004.
  • T. Jiang and J.S. Baras, “Ant-Based Adaptive Trust Evidence Distribution in MANET”, Proceedings of International Conference on Distributed Computing Systems Workshops, pp. 588–593, 2004.

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  • Development of Energy Efficient Protocol For AD HOC Networks

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Authors

S. Soumya
College of Computer and Information Sciences, Srinivas University, India
K. Krishna Prasad
College of Computer and Information Sciences, Srinivas University, India
Navin N. Bappalige
Sahyadri College of Engineering and Management, India

Abstract


The term adhoc network refers to a network that is created spontaneously, self-powered and infrastructure less networks. The energy in adhoc network does a crucial role in lengthening the network life span. The energy saving techniques in adhoc networks help to overcome the problem of link breakage. adhoc networks are generally used for specific scenarios, such as Earth Quakes, Military, Wild Life Monitoring, under water surveillance monitoring and disaster management. In this type of scenario, adhoc network nodes are located normally far away from each other and each node is independent in network and individually powered by batteries. So, Battery is the major constraint of this type of adhoc network. In an adhoc network, communication between nodes is possible by one another through forwarding packets and finding the paths to the destination by itself. Path selection in an adhoc network keeps in consideration energy usage, to increase the duration of the network. The selection of the optimal path can increase the duration of the network, if the highest leftover energy parameter is used to choose a path and a path with less hop count, the possibility of increase in network lifetime is more. The path selection is performed using the adhoc routing protocols and the AODV protocol has already been proven by researchers that it is appropriate for use in an adhoc network to increase battery efficiency and to lengthen the network life span. But, the AODV protocol has many disadvantages while determining the optimal path due to the reason, such as AODV protocol always tends to choose the shortest path without calculating the intermediary node residual energy, and then this leads to link breakage in the path. To overcome this drawback of the AODV protocol, we have designed a newly modified protocol called the Optimized Residual Energy Selection Adhoc On Demand Distance Vector (ORES-AODV) protocol, which selects the optimal path by calculating the average of maximum residual energy and by finding the average energy overhead of the intermediate nodes in the path and the mobility of the nodes are compared using mobility models. This protocol is 7% efficient than the other protocols proposed by taking AODV as the base protocol. Another Adhoc Network, the Wireless Sensor Network, has seen tremendous research in several years to solve the energy dissipation problem. To address the issue of energy waste in Wireless Sensor Networks, a new protocol called Modified Mobile-sinks-based Energy-efficient Clustering Algorithm (M-MECA) is introduced, which is based on mobile sink and clustering. The proposed protocol is compared with other protocols and the protocol developed is 6% efficient as evaluated with other protocols.

Keywords


Energy Saving, AODV protocol, Optimized Residual Energy Selection Adhoc on Demand Distance Vector, Mobile-sinks-based Energy-efficient Clustering Algorithm

References