A Reliable and Energy-Efficient Opportunistic Routing Protocol for Dense Lossy Networks

Power conservation and reliable data delivery are two most critical issues in the design of routing protocols for wireless networks, especially for dense lossy networks. However, traditional routing protocols, which deliver packets along predetermined routing paths with unnecessarily high transmit power, cannot cope well with dynamic and lossy wireless mediums under excessive interference. In order to prolong the lifetime of networks and improve the reliability of networks, this letter proposes a reliable and energy-efficient opportunistic routing (REOR) protocol. REOR effectively utilizes path diversity by jointly selecting optimal transmit power and optimal forwarder set, which significantly postpones the death of nodes and ensures persistent network connectivity with dynamic workload sharing approach. Extensive simulation results demonstrate that REOR achieves up to 50% reliability improvement and 30% energy conservation compared to the benchmark, i.e., the IPv6 routing protocol for low-power and lossy networks.

[1]  Mianxiong Dong,et al.  RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks , 2016, IEEE Internet of Things Journal.

[2]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[3]  Peter Han Joo Chong,et al.  An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks , 2016, IEEE Internet of Things Journal.

[4]  Minyi Guo,et al.  Joint Optimization of Lifetime and Transport Delay under Reliability Constraint Wireless Sensor Networks , 2016, IEEE Transactions on Parallel and Distributed Systems.

[5]  Nesrine Chakchouk,et al.  A Survey on Opportunistic Routing in Wireless Communication Networks , 2015, IEEE Communications Surveys & Tutorials.

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

[7]  Kieran Parsons,et al.  Load balanced routing for low power and lossy networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Yung-Chi Chang,et al.  Opportunistic large array concentric routing algorithms with relay nodes for wireless sensor networks , 2016, Comput. Electr. Eng..

[9]  Rodrigo C. de Lamare,et al.  Alternating Optimization Algorithms for Power Adjustment and Receive Filter Design in Multihop Wireless Sensor Networks , 2015, IEEE Transactions on Vehicular Technology.

[10]  Mohamed Abid,et al.  Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL , 2015, Ad Hoc Networks.