Enhancement of AODV routing protocol in MASNETs

The rapid development of wireless communication technologies and portable mobile devices such as laptops, PDAs, smart phones and wireless sensors brings the best out of mobile computing particularly mobile ad-hoc and sensor networks. Nowadays, most of researchers working on Wireless Sensor Networks (WSNs) focus on Mobile Ad-hoc and Sensor Networks (MASNETs) due to their wide range of potential applications ranging from underwater monitoring to search and rescue mobile robotics applications. In this research work, through extensive simulation, we have evaluated the capability of Ad-hoc On Demand Distance Vector (AODV) routing protocol on how far it can react to different mobility duration of mobile nodes in MASNETs. The performance of AODV is investigated in terms of the average percentage of packet loss and energy consumption. The initial performance study demonstrates that the performance of AODV is signicantly decreased in mobile environment due to the frequent topology change in MASNETs. Therefore, in order to enhance the performance of AODV in MASNETs, the new routing algorithm based on the estimated distance is proposed to replace the hop count for the selection of next node during the packet transmission. The estimated distance is computed based on the Received Signal Strength Indicator (RSSI) values that are collected during the communication between the sensor nodes. The performance of the proposed solution is also further evaluated and compared with the existing AODV routing protocol in term of their energy consumption and percentage of packet loss. Our study demonstrates that the proposed solution outperform the existing AODV in MASNETs.

[1]  Halikul Lenando,et al.  Transmission power control in mobile wireless sensor networks: Simulation-based approach , 2012, ICWCA.

[2]  Jens Palsberg,et al.  Avrora: scalable sensor network simulation with precise timing , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[3]  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.

[4]  Halikul Lenando,et al.  Performance evaluation of AODV routing protocol for mobile wireless sensor network , 2011, 2011 7th International Conference on Information Technology in Asia.

[5]  M. Malajner,et al.  Using RSSI value for distance estimation in wireless sensor networks based on ZigBee , 2008, 2008 15th International Conference on Systems, Signals and Image Processing.

[6]  David Ros,et al.  RSSI-Based Forwarding for Multihop Wireless Sensor Networks , 2009, EUNICE.

[7]  Di Ma,et al.  The hop count shift problem and its impacts on protocol design in wireless ad hoc networks , 2010, Telecommun. Syst..

[8]  Roberto Tamassia,et al.  Algorithms for Location Estimation Based on RSSI Sampling , 2008, ALGOSENSORS.

[9]  Puneet Gupta,et al.  Experimental analysis of RSSI-based location estimation in wireless sensor networks , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[10]  Halikul Lenando,et al.  Performance evaluation of CTP routing protocol for mobile Wireless Sensor Network , 2013, 2013 IEEE Conference on Wireless Sensor (ICWISE).

[11]  David Andreu.  Implementation and Performance Evaluation of IEEE 802.15.4 Protocol , 2011 .

[12]  Zhihong Qian,et al.  An Efficient Hop Count Routing Protocol for Wireless Ad Hoc Networks , 2014, Int. J. Autom. Comput..

[13]  Fei Yu.  A Survey of Wireless Sensor Network Simulation Tools , 2011 .

[14]  Jian Ma,et al.  Simulation Study of AODV Performance over IEEE 802.15.4 MAC in WSN with Mobile Sinks , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).