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MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks

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2 Author(s)
Luca Mottola ; Swedish Institute of Computer Science, Stockholm ; Gian Pietro Picco

Wireless sensor networks (WSNs) are increasingly proposed for applications characterized by many-to-many communication, where multiple sources report their data to multiple sinks. Unfortunately, mainstream WSN collection protocols are generally designed to account for a single sink and, dually, WSN multicast protocols optimize communication from a single source. In this paper, we present MUSTER, a routing protocol expressly designed for many-to-many communication. First, we devise an analytical model to compute, in a centralized manner, the optimal solution to the problem of simultaneously routing from multiple sources to multiple sinks. Next, we illustrate heuristics approximating the optimal solution in a distributed setting, and their implementation in MUSTER. To increase network lifetime, MUSTER minimizes the number of nodes involved in many-to-many routing and balances their forwarding load. We evaluate MUSTER in emulation and in a real WSN testbed. Results indicate that our protocol builds near-optimal routing paths, doubles the WSN lifetime, and overall delivers to the user 2.5 times the amount of raw data w.r.t. mainstream protocols. Moreover, MUSTER is intrinsically amenable to in-network aggregation, pushing the improvements up to a 180 percent increase in lifetime and a four-time increase in data yield.

Published in:

IEEE Transactions on Mobile Computing  (Volume:10 ,  Issue: 12 )