Energy Consumption Optimisation for Duty-Cycled Schemes in Shadowed Environments

The focus of this study is the optimal configuration of a wireless low-power duty-cycled network with respect to the minimal energy consumption. Precisely, the energy consumption of a truncated-ARQ scheme in realistic shadowing environments is examined for the reference IEEE 802.15.4e standard protocol and for its cooperative extension that is presented in the paper. We show how to choose between the direct or multihop forwarding and the cooperative version of the two. We determine the optimal forwarding strategy for both loose and strict reliability requirements. Low-power links are parametrised by the interdevice distance and the corresponding outage probability, for the fixed output transmission power. It is shown that significant amounts of energy can be saved when the most adequate scheme of the three is applied. All analytical results are validated in the network simulator ns-3.

[1]  Sagar Naik,et al.  Performance analysis of the node cooperative ARQ scheme for wireless ad-hoc networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[2]  Elif Uysal-Biyikoglu,et al.  Measurement and characterization of link quality metrics in energy constrained wireless sensor networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[3]  Chi Zhou,et al.  Energy Efficiency Analysis of Multistage Cooperation in Sensor Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[4]  Maurizio Rebaudengo,et al.  Performance analysis of reliable flooding in duty-cycle wireless sensor networks , 2014, Trans. Emerg. Telecommun. Technol..

[5]  Tatjana Predojev,et al.  Energy evaluation of a cooperative and duty-cycled ARQ scheme for Machine-to-Machine communications with shadowed links , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

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

[7]  Tatjana Predojev,et al.  Energy efficiency of cooperative ARQ strategies in low power networks , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[8]  Jean-Marie Gorce,et al.  M-ary symbol error outage over Nakagami-m fading channels in shadowing environments , 2009, IEEE Transactions on Communications.

[9]  Yunghsiang Sam Han,et al.  Optimal Transmission Range for Wireless Ad Hoc Networks Based on Energy Efficiency , 2007, IEEE Transactions on Communications.

[10]  Richard Demo Souza,et al.  Energy Efficiency Analysis of Some Cooperative and Non-Cooperative Transmission Schemes in Wireless Sensor Networks , 2011, IEEE Transactions on Communications.

[11]  Kenji Yamada,et al.  Dynamic Data Forwarding in Wireless Mesh Networks , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[12]  Klaus Wehrle,et al.  Bursty traffic over bursty links , 2009, SenSys '09.

[13]  Marco Zuniga,et al.  An analysis of unreliability and asymmetry in low-power wireless links , 2007, TOSN.

[14]  Gennaro Boggia,et al.  Standardized Protocol Stack for the Internet of (Important) Things , 2013, IEEE Communications Surveys & Tutorials.

[15]  J. van Loon Network , 2006 .

[16]  Philip Levis,et al.  An empirical study of low-power wireless , 2010, TOSN.

[17]  Jesus Alonso-Zarate,et al.  Performance analysis of a persistent relay carrier sensing multiple access protocol , 2009, IEEE Transactions on Wireless Communications.