Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks

Abstract

In wireless sensor networks, en route aggregation decision regarding where and when aggregation shall be performed along the routes has been explicitly or implicitly studied extensively. However, existing solutions have omitted one key dimension in the optimization space, namely, the aggregation cost. In this paper, focusing on optimizing over both transmission and aggregation costs, we develop an online algorithm capable of dynamically adjusting the route structure when sensor nodes join or leave the network. Furthermore, by only performing such reconstructions locally and maximally preserving existing routing structure, we show that the online algorithm can be readily implemented in real networks in a distributed manner, requiring only localized information. Analytically and experimentally, we show that the online algorithm promises extremely small performance deviation from the offline version, which has already been shown to outperform other routing schemes with static aggregation decision.

Multi-Attribute Data Fusion for Energy Equilibrium Routing in Wireless Sensor Networks

“…In [18], Luo et al developed an online algorithm capable of dynamically adjusting the route structure when sensor nodes joined or left the network. Furthermore, by ensuring that such reconstructions were only performed locally and maximally preserving existing routing structure, the online algorithm could be readily implemented in real networks in a distributed manner, promised extremely small performance deviations from the offline version and outperformed other routing schemes with static aggregation decisions.…”