Energy Efficient Routing in Mobile Ad Hoc Networks by Using Honey Bee Mating Optimization

Mobile Ad hoc networks (MANETs) are composed of mob ile stations communicating through wireless links, without any f ixed backbone support. In these networks, limited power energy supply, and frequent topology changes caused by node mobility, makes their routing a challenging pr oblem. TORA is one of the routing protocols that successfully copes with the nodes’ mobility side effects, but it doesn’t take into the nodes’ energy level. To solve this problem, this paper employs Honey Bee Mating Optimization (HBMO) principles to present a new routing protocol, called HBMO-TORA algorithm. Simulation re sults show that HBMOTORA outperforms TORA in terms of packet delivery r atio, network life time, system life time and end-to-end delay.

[1]  Qianbin Chen,et al.  A new TORA-based energy aware routing protocol in mobile ad hoc networks , 2007, 2007 3rd IEEE/IFIP International Conference in Central Asia on Internet.

[2]  J. Redi,et al.  A brief overview of ad hoc networks: challenges and directions , 2002, IEEE Communications Magazine.

[3]  Shaya Sheikh,et al.  Energy aware proactive optimized link state routing in mobile ad-hoc networks , 2011 .

[4]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[5]  Philippe Jacquet,et al.  Optimized Link State Routing Protocol (OLSR) , 2003, RFC.

[6]  B Safarzadeh,et al.  SQR-AODV: A STABLE QOS-AWARE RELIABLE ON-DEMAND DISTANCE VECTOR ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS , 2011 .

[7]  Eryk Dutkiewicz,et al.  A review of routing protocols for mobile ad hoc networks , 2004, Ad Hoc Networks.

[8]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[9]  Yuguang Fang,et al.  DEAR: A Device and Energy Aware Routing protocol for heterogeneous ad hoc networks , 2003, J. Parallel Distributed Comput..

[10]  H A Abbass,et al.  MARRIAGE IN HONEY-BEE OPTIMIZATION (MBO): A HAPLOMETROSIS POLYGYNOUS SWARMING APPROACH , 2001 .

[12]  Gregory A. Hansen,et al.  The Optimized Link State Routing Protocol , 2003 .

[13]  Bilal Maqbool,et al.  Towards the Benchmarking of Routing Protocols for Adhoc Wireless Networks , 2022 .

[14]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[15]  Lin Zhang,et al.  AN ENERGY-AWARE MULTIPATH ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS , 2005 .

[16]  Özgür B. Akan,et al.  A survey on bio-inspired networking , 2010, Comput. Networks.

[17]  Martin Mauve,et al.  A survey on real-world implementations of mobile ad-hoc networks , 2007, Ad Hoc Networks.

[18]  Lang Tong,et al.  Energy-Aware Adaptive Routing for Large-Scale Ad Hoc Networks: Protocol and Performance Analysis , 2007, IEEE Transactions on Mobile Computing.

[19]  Barry J. Adams,et al.  Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation , 2007, J. Frankl. Inst..

[20]  Shahram Jamali,et al.  NISR: A NATURE INSPIRED SCALABLE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS , 2011 .

[21]  B Safarzadeh,et al.  A HIGH PERFORMANCE SCALABLE QOS ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS , 2011 .

[22]  Shahram Jamali,et al.  BA-TORA: A MULTIPATH ROUTING PROTOCOL FOR MANETS BY INSPIRATION FROM BEE AND ANT COLONIES , 2011 .

[23]  Shervin Erfani,et al.  Survey of multipath routing protocols for mobile ad hoc networks , 2009, J. Netw. Comput. Appl..

[24]  M. S. Corson,et al.  A highly adaptive distributed routing algorithm for mobile wireless networks , 1997, Proceedings of INFOCOM '97.