Optimal hops for minimal route power under SINR constraints in wireless sensor networks

Abstract

This study attempts to deduce the optimal hops in a multi-hop wireless sensor network (WSN) ensuring powerefficient communication under signal-to-interference noise ratio (SINR) constraints. The authors model the total route power consumption under wireless channel quality constraints. WSNs usually employ a multiple-source, single-sink structure for information transfer, necessitating data aggregation. The authors calculate optimal hops for three different data aggregation schemes. They further propose a robust hybrid data aggregation strategy that demonstrates an improved performance with respect to minimal power consumption when compared with employing individual data aggregation schemes. The data aggregation scheme employing optimal hops has been implemented and results have been verified for an illustrative application in water supply and drainage monitoring system. The authors have formulated the problem as a standard convex optimisation problem. They employ Karush-Kuhn-Tucker optimality conditions to derive the analytical expressions of the globally optimal hops, which incorporate the influence of route power, receiver noise, and SINR thresholds. The transmit power and hop count are varied simultaneously until an optimised hop count is achieved. The relation between the node transmit power and the number of hops in the route is derived and the condition for feasible optimal hops is presented.

Energy efficient wireless sensor network using optimum hops and virtual MIMO technique

“…From Fig. 8, it is evident that 3 hops are the optimum hops at distance 300 m for the 2 × 2 V-MIMO technique [9]. Thus, the energy saving for long range communication in WSN can be obtained through the selection of optimum hop MIMO technique.…”

“…From the Fig. 7, it is evident that 10 hops are the optimum hops at distance 300 m for the SISO technique [9]. Using 8 hops and 10 hops for distance 200 m and 300 m are not practically suitable.…”

“…Now, in Fig. 2b, 2c, the total energy for transmitting a bit using V-SIMO and V-MISO communication in a single hop is given by (9) and (10) (3)…”

“…Various researches on the WSN have generally focused on either optimizing the length of hop or minimizing transmitting power, while keeping the other parameter as constant. Therefore, by choosing the optimal hop length, unnecessary power consumption can be saved due to reducing the intermediate sensor nodes between the source and the sink [9].…”

Multi‐hop decision gathering scheme for target‐detection wireless sensor networks

“…In [37], an improved nearest neighbour algorithm is proposed to construct gathering paths aiming at a uniform distribution of the energy consumption among sensors. Selecting the optimal route under interference constraints is investigated in [38], while it is investigated for battery lifetime and energy efficiency maximisation in [39, 40], respectively.…”