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Abstract

In Mobile Adhoc Network (MANET), obstacles in terrain and nodes mobility are main constrains due which performance degrades. To mitigate these effects, the routing protocol should be mobility and obstacles aware. In this work, we proposed a novel Obstacle and Mobility Aware Routing (OMAR) protocol. In OMAR, for obstacles avoidance, DeCasteljau Algorithm based on Bezier curve is been used. And to reduce effects of mobility and energy shortage of a node, an Energy based Mobility Index (EMI) routing scheme is been developed. The path possesses high EMI is selected as route. The performance of proposed Mobility and Obstacle Aware Routing protocol is evaluated using NS2 simulator. Simulation results show that the proposed algorithm reduces energy consumption, overhead, delay and increases data delivery in the network.

Keywords

Obstacle awareness mobility awareness link duration Bezier curve obstacle

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References

D.B.

Johnson and

D.A.

Maitz , Dynamic. Source Routing in Ad Hoc Wireless Networks, Mobile Computing-The Kluwer International Series in Engineering and Computer Science, Springer US 353 (1996), 153–181.

E.M.

Royer and

C.K.

Toh , A review of current routing protocols for ad hoc mobile wireless networks, IEEE Personal Communications 6(2) (1999), 46–55.

E.M.

Royer ,

P.M.

Melliar-Smith and

L.E.

Moser , An analysis of the optimum node density for ad hoc mobile networks, In Proceedings of IEEE International Conference on Communications, 3 (2001), 857–861.

Chlamtac ,

Conti and

J.J.N.

Liu , Mobile ad hoc networking: Imperatives and challenges, Ad hoc Networks 1(1) (2003), 13–64.

Lu ,

Manson and

Belis , Mobility modeling in mobile ad hoc networks with environment-aware, Journal of Networks 1(1) (2006), 54–63.

Lei ,

Wang ,

Zhou ,

Chen and

Cai , Link availability estimation based reliable routing for aeronautical ad hoc networks, Ad Hoc Networks 20 (2014), 53–63.

Han ,

Bai ,

Gong and

Wu , Link availability prediction-based reliable routing for mobile ad hoc networks, IET Communications 5(16) (2011), 2291–2300.

D.B.

Johnson and

D.A.

Maltz , Dynamic Source Routing in Ad Hoc Wireless Networks, Mobile Computing,

Imielin-ski and

Korth , Ed. Kluwer Academic Publishers 5 (1996), 153–181.

Suraj ,

Tapaswi ,

Yousef ,

K.K.

Pattanaik and

Cole , Mobility prediction in mobile ad hoc networks using a lightweight genetic algorithm, Wireless Networks 22(6) (2016), 1797–1806.

10.

J.A.

Torkestani , Mobility prediction in mobile wireless networks, Journal of Network and Computer Applications 35(5) (2012), 1633–1645.

11.

Papageorgiou ,

Birkos ,

Dagiuklas and

Kotsopou-los , An obstacle-aware human mobility model for ad hoc networks, In MASCOTS'09. IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems 1 (2009), 1–9.

12.

Boschi ,

Crescenzi ,

Di and

Vocca , A Mobility Model Simulation Environment for Mobile Wireless Ad-hoc Networks, Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops (2008), 20–31.

13.

Kim , Adaptive MANET multipath routing algorithm based on the simulated annealing approach, The Scientific World Journal 2014, Article ID 872526 (2014), 1–8.

14.

Belghith ,

Belhassen ,

Dhraief ,

N.E.

Dougui and

Mathkour , Autonomic obstacle detection and avoidance in MANETs Driven by Cartography Enhanced OLSR, Mobile Information Systems 2015, Article ID 820401(2015), 1-20.

15.

Moussaoui ,

Semchedine and

Boukerram , A linkstate QoS routing protocol based on link stability for Mobile Ad hoc Networks, Journal of Network and Computer Applications 39 (2014), 117–125.

16.

Amjad ,

Ali ,

Jabbar ,

Hussain ,

Rho and

Kim , Impact of dynamic path loss models in an urban obstacle aware ad hoc network environment, Journal of Sensors 2015, Article ID 286270(2015), 1-8.

17.

Mi ,

Yang and

J.Y.

Yang , Restoring connectivity of mobile robotic sensor networks while avoiding obstacles, IEEE Sensors Journal 15(8) (2015), 4640–4650.

18.

Wang ,

Wang and

Zhang , A realistic mobility model with irregular obstacle constraints for mobile ad hoc networks, Wireless Networks 23 (2017), 1–20.

19.

J.M.M.

Alves , Path Planning and Collision. Avoidance Algorithms for Small RPAS, Instituto Superior Tecnico, Universidade de Lisboa, Portugal (2017), 1–10.

20.

Sarkar and

Dutta , Mobility-aware route selection technique for mobile ad hoc networks, IET Wireless Sensor Systems 7(3) (2017), 55–64.

21.

E.M.

Royer and

C.E.

Perkin , An Implementation Study of AODV Routing Protocol, Proceeding of IEEE wireless Communication and Networking Conference (WCNC 2000) 3 (2000), 1003–1008.