QoS optimization through PBMR algorithm in multipath wireless multimedia sensor networks

Recent research in communication moves towards cyber space with modern applications such as multimedia surveillance, smart autonomous traffic control, advanced health care monitoring, industrial automation, and continuous remote environmental and structural monitoring. Such applications are extensively generates multimedia information and converse through Wireless Multimedia Sensor Networks (WMSNs). Path selection plays vital role in transmitting the multimedia data over wireless networks. Single path selection incurs routing failure due to the energy hole because of power shortage and traffic congestion. Due to energy hole in any particular node the packet gets dropped in the route from source to destination. The multipath routing algorithm selects more than one path to increase the rate of the packet delivery than the single path routing. The prediction of energy deficiency in sensor nodes is becoming over head in WSMNs. In order to improve the packet delivery and performance of the network, in this paper a Priority Based Multipath Routing Algorithm (PBMRA) is proposed. It consists of three modules: The Neighbourhood Selection identifies the neighbours; Multipath Construction constructs multiple paths from the indentified neighbours; and Priority Selection selects the high energized routes based on the priority of node attributes such as liveliness, path delay and hop count. The proposed algorithm is experimentally compared with other existing algorithms such as AODV, DSR, DSDV and OLSR. The experimental results show that the PBMRA algorithm increases the overall throughput, packet received rate and provides the reliable route than existing algorithms.

[1]  Kun Gao,et al.  Deep data analyzing algorithm based on scale space theory , 2017, Cluster Computing.

[2]  M. Aramudhan,et al.  Priority based prediction mechanism for ranking providers in federated cloud architecture , 2018, Cluster Computing.

[3]  Khaled Elleithy,et al.  Real-Time QoS Routing Protocols in Wireless Multimedia Sensor Networks: Study and Analysis , 2015, Sensors.

[4]  Naixue Xiong,et al.  TPGF: geographic routing in wireless multimedia sensor networks , 2010, Telecommun. Syst..

[5]  Niclas Roxhed,et al.  Integrating MEMS and ICs , 2015 .

[6]  Anis Koubaa,et al.  Radio link quality estimation in wireless sensor networks , 2012, ACM Trans. Sens. Networks.

[7]  Mohsen Guizani,et al.  Green Routing Protocols for Wireless Multimedia Sensor Networks , 2016, IEEE Wireless Communications.

[8]  Gao Fuxiang,et al.  A real-time and energy aware QoS routing protocol for Multimedia Wireless Sensor Networks , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[9]  Khaled Shuaib,et al.  A survey of Wireless Multimedia Sensor Networks challenges and solutions , 2011, 2011 International Conference on Innovations in Information Technology.

[10]  B. R. Badrinath,et al.  ReInForM: reliable information forwarding using multiple paths in sensor networks , 2003, 28th Annual IEEE International Conference on Local Computer Networks, 2003. LCN '03. Proceedings..

[11]  Wei Tsang Ooi,et al.  Multimedia prefetching with optimal Markovian policies , 2016, J. Netw. Comput. Appl..

[12]  Fariborz Entezami,et al.  An Analysis of Routing Protocol Metrics inWireless Mesh Networks , 2014 .

[13]  Khaled Almiani,et al.  Tour and path planning methods for efficient data gathering using mobile elements , 2016, Int. J. Ad Hoc Ubiquitous Comput..

[14]  L. Kleinrock,et al.  Packet Switching in Radio Channels : Part Il-The Hidden Terminal Problem in Carrier Sense Multiple-Access and the Busy-Tone Solution , 2022 .

[15]  Fadi Al-Turjman,et al.  Optimized Multi-Constrained Quality-of-Service Multipath Routing Approach for Multimedia Sensor Networks , 2017, IEEE Sensors Journal.

[16]  Jing-Yu Yang,et al.  Network coding based reliable disjoint and braided multipath routing for sensor networks , 2010, J. Netw. Comput. Appl..

[17]  Yuguang Fang,et al.  Multiconstrained QoS multipath routing in wireless sensor networks , 2008, Wirel. Networks.

[18]  Attahiru Sule Alfa,et al.  A Survey on an Energy-Efficient and Energy-Balanced Routing Protocol for Wireless Sensor Networks , 2017, Sensors.

[19]  Alejandro Quintero,et al.  Ant-based routing for wireless multimedia sensor networks using multiple QoS metrics , 2010, Comput. Networks.

[20]  Qiang Ni,et al.  Secure and Robust Multi-Constrained QoS Aware Routing Algorithm for VANETs , 2016, IEEE Transactions on Dependable and Secure Computing.

[21]  L. B. Milstein,et al.  On the accuracy of a first-order Markov model for data transmission on fading channels , 1995, Proceedings of ICUPC '95 - 4th IEEE International Conference on Universal Personal Communications.

[22]  Ian F. Akyildiz,et al.  Wireless multimedia sensor networks: A survey , 2007, IEEE Wireless Communications.

[23]  Vijay Ukani,et al.  An Energy Efficient Routing Protocol for Wireless Multimedia Sensor Network , 2014, 2014 International Conference on Devices, Circuits and Communications (ICDCCom).

[24]  Antoine B. Bagula,et al.  Energy Constrained Multipath Routing in Wireless Sensor Networks , 2008, UIC.

[25]  Fadi M. Al-Turjman,et al.  Information-centric sensor networks for cognitive IoT: an overview , 2016, Annals of Telecommunications.

[26]  Fadi Al-Turjman,et al.  A Survey on Multipath Routing Protocols for QoS Assurances in Real-Time Wireless Multimedia Sensor Networks , 2017, IEEE Communications Surveys & Tutorials.

[27]  Rachana A. Satao,et al.  A Survey on Various Multipath Routing Protocols in Wireless Sensor Networks , 2016 .

[28]  Hossam S. Hassanein,et al.  Towards prolonged lifetime for deployed WSNs in outdoor environment monitoring , 2015, Ad Hoc Networks.

[29]  Naixue Xiong,et al.  Energy Efficiency QoS Assurance Routing in Wireless Multimedia Sensor Networks , 2011, IEEE Systems Journal.

[30]  Bülent Tavli,et al.  Optimal number of routing paths in multi-path routing to minimize energy consumption in wireless sensor networks , 2013, EURASIP Journal on Wireless Communications and Networking.