Multipath Routing Network Management Protocol for Resilient and Energy Efficient Wireless Sensor Networks

Abstract This paper proposes an optimization model for network management in multihop Wireless Sensor Networks (WSNs). Here, we develop a distributed, braided multipath algorithm to deliver the information from the information sources (targets) to the Base stations (sinks) giving the network the ability to adapt to changes or failures. The Base Stations are robust nodes with capabilities for positioning themselves and communicating outside the network, which grants them the benefit of knowing other Base Stations’ position in the area of interest. Targets are nodes that generate information and need a fixed amount of bandwidth to convey this information to a Base Station. Every element in the network is static. This paper shows the mathematical optimization model for the network's energy minimization and resilience maximization. To increase network's resilience, the devices within the network will try to create multiple paths from the beginning trying to reach at least one Base Station. The model is solved through a heuristic algorithm based on the nearest neighbor and minimum hop concepts and it is implemented in Java. Results show that the proposed algorithm finds multiple braided paths for most of the instances proposed and some backup nodes for nodes in the paths that can help the network to extend its lifetime operation and adapt to failures.

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

[2]  J. Panda,et al.  The present and future of nanotechnology in human health care. , 2007, Nanomedicine : nanotechnology, biology, and medicine.

[3]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[4]  Paul J. M. Havinga,et al.  Trade-off between traffic overhead and reliability in multipath routing for wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[5]  Wendi B. Heinzelman,et al.  Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks , 2002, Wirel. Networks.

[6]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[7]  Thomas Clausen,et al.  The Optimized Link State Routing Protocol: Evaluation through Experiments and Simulation , 2001 .

[8]  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.

[9]  Preetha Thulasiraman,et al.  Disjoint Multipath Routing to Two Distinct Drains in a Multi-Drain Sensor Network , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[10]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[11]  Mani Srivastava,et al.  Energy efficient routing in wireless sensor networks , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[12]  Yezid Donoso,et al.  Energy Optimization in Mobile Wireless Sensor Networks with Mobile Targets Achieving Efficient Coverage for Critical Applications , 2013, Int. J. Comput. Commun. Control.

[13]  Wenjing Lou,et al.  H-SPREAD: a hybrid multipath scheme for secure and reliable data collection in wireless sensor networks , 2006, IEEE Transactions on Vehicular Technology.

[14]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[15]  Andreas Pitsillides,et al.  A survey on secure multipath routing protocols in WSNs , 2010, Comput. Networks.