Sustaining the emergency wireless multihop infrastructure by distributed sharing of energy consumption

Wireless multihop infrastructures WMIs facilitate low-cost and quick deployable network infrastructures for emerging applications in emergency responses and smart cities. Cooperative sharing of energy consumption is essential for network sustainability. This paper studies the problem of cooperative sharing of routing services in an emergency WMI E-WMI by examining the regulation of route switching from perspectives of network-wide and long-time energy efficiency. A key idea in the regulation of route switching is employing explicit routing terms among base stations in an E-WMI, allowing tolerance of temporary imbalance of energy consumption in the network. A routing term refers to a period for a base station to continuously serve routing in an E-WMI. By taking into account the specific features of E-WMIs, this paper overcomes the challenging problems of complexity and difficulty in examining the explicit route switching and energy distribution in multihop networks. We find that there exists the optimal routing term and number of route switching for the long-time energy efficiency. With the optimal routing terms, a network can take a principle of distributed energy sharing by route switching management rather than only applying end-to-end energy-efficient routing that does not have a long-time management of network energy consumption.

[1]  Leslie Lenert,et al.  Feasibility of Using Distributed Wireless Mesh Networks for Medical Emergency Response , 2006, AMIA.

[2]  Brigitte Jaumard,et al.  Maximizing Network Stability in a Mobile WiMax/802.16 Mesh Centralized Scheduling , 2008, 2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[3]  Weisong Shi,et al.  Modeling the Lifetime of Wireless Sensor Networks , 2005 .

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

[5]  Juan-Carlos Cano,et al.  Power-aware routing based on the energy drain rate for mobile ad hoc networks , 2002, Proceedings. Eleventh International Conference on Computer Communications and Networks.

[6]  Ramesh R. Rao,et al.  Challenges in Using of Distributed Wireless Mesh Networks in Emergency Response , 2006 .

[7]  R. Harmon,et al.  Smart cities and the Internet of Things , 2015, 2015 Portland International Conference on Management of Engineering and Technology (PICMET).

[8]  Ian F. Akyildiz,et al.  A survey on wireless mesh networks , 2005, IEEE Communications Magazine.

[9]  Fumiyuki Adachi,et al.  Disaster-resilient networking: a new vision based on movable and deployable resource units , 2013, IEEE Network.

[10]  Chai-Keong Toh Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks , 2001 .

[11]  Robin J. Wilson Introduction to Graph Theory , 1974 .

[12]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[13]  Rui Teng,et al.  On-Demand Information Retrieval in Sensor Networks with Localised Query and Energy-Balanced Data Collection , 2011, Sensors.

[14]  Brigitte Jaumard,et al.  Maximum Network Lifetime in Interference-Aware WiMax/802.16 Mesh Centralized Scheduling , 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.

[15]  Xinheng Wang Wireless mesh networks , 2008, Journal of telemedicine and telecare.

[16]  Akira Yamaguchi,et al.  Tree-Based Routing Protocol for Cognitive Wireless Access Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

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

[18]  Elizabeth M. Belding-Royer,et al.  Emergenet: robust, rapidly deployable cellular networks , 2014, IEEE Communications Magazine.

[19]  Charles E. Perkins,et al.  Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for mobile computers , 1994, SIGCOMM.

[20]  David B. Johnson,et al.  The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks , 2003 .

[21]  Afsane Saee Arezoomand,et al.  Prolonging network operation lifetime with new maximum battery capacity routing in wireless mesh network , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[22]  Ryu Miura,et al.  Nerve Net: A Regional-Area Network for Resilient Local Information Sharing and Communications , 2014, 2014 Second International Symposium on Computing and Networking.

[23]  Liang Ma,et al.  A Routing Metric for Load-Balancing in Wireless Mesh Networks , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[24]  Deborah Estrin,et al.  Modelling Data-Centric Routing in Wireless Sensor Networks , 2002 .

[25]  Hamid Aghvami,et al.  Energy-efficient adaptive routing in wireless ad hoc and mesh networks , 2012, IET Networks.